{"id":174727,"date":"2024-11-20T13:24:13","date_gmt":"2024-11-20T18:24:13","guid":{"rendered":"https:\/\/innowise.com\/?p=174727"},"modified":"2026-03-19T08:46:09","modified_gmt":"2026-03-19T12:46:09","slug":"ai-in-drug-discovery","status":"publish","type":"post","link":"https:\/\/innowise.com\/fr\/blog\/ai-in-drug-discovery\/","title":{"rendered":"IA et d\u00e9couverte de m\u00e9dicaments | Guide 2026"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"174727\" class=\"elementor elementor-174727\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2bf5d30 main-block elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2bf5d30\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ed4b59f\" data-id=\"ed4b59f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d3f1b8b elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"d3f1b8b\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"breadcrumbs flex\">\n    <div class=\"info\"> \n    <a href=\"https:\/\/innowise.com\/\">\n  Main\n  <\/a>\n    <\/div>\n    <div class=\"info\">\n         <a href=\"https:\/\/innowise.com\/about-us\/\">\n  About us\n  <\/a>\n    <\/div>\n     <div class=\"info\">\n          <a href=\"https:\/\/innowise.com\/blog\/\">\n  Blog\n  <\/a>\n    <\/div>\n<\/div>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\/\", \n  \"@type\": \"BreadcrumbList\", \n  \"itemListElement\": [{\n    \"@type\": \"ListItem\", \n    \"position\": 1, \n    \"name\": \"Innowise is on Top: We Are No. 554 on Inc. 5000 Annual List\",\n    \"item\": \"https:\/\/innowise.com\/blog\/inc-5000-puts-innowise-group-among-the-fastest-growing-technology-companies-in-the-usa-2022\/\"  \n  },{\n    \"@type\": \"ListItem\", \n    \"position\": 2, \n    \"name\": \"Blog\",\n    \"item\": \"https:\/\/innowise.com\/blog\/\"  \n  },{\n    \"@type\": \"ListItem\", \n    \"position\": 3, \n    \"name\": \"Main\",\n    \"item\": \"https:\/\/innowise.com\/\"  \n  }]\n}\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-480268a elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"480268a\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"article-info flex\">\n    <div class=\"info\"> \n    10 min read\n    <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79827f8 elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"79827f8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">AI in drug discovery: revolutionizing the future of medicine<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b3ed090 elementor-widget__width-initial elementor-widget elementor-widget-shortcode\" data-id=\"b3ed090\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">[display_tags]<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-82ba05c article-description elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"82ba05c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-3d75ad5 author-article\" data-id=\"3d75ad5\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f4c45c e-con-full e-flex e-con e-parent\" data-id=\"4f4c45c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2a6ccd9 elementor-widget elementor-widget-text-editor\" data-id=\"2a6ccd9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<span style=\"font-weight: 400;\">Artificial intelligence (AI) isn&#8217;t just helping us find new drugs; it&#8217;s changing how we think about innovation. Smarter drugs, tailored to your DNA, with fewer side effects, isn&#8217;t science fiction \u2014 it&#8217;s what AI is doing now. Take a look at how AI is changing the way we think about drugs, one algorithm at a time.<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-499a78b e-con-full e-flex e-con e-parent\" data-id=\"499a78b\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-626bdc9 e-con-full e-flex e-con e-child\" data-id=\"626bdc9\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3acf1d5 elementor-widget elementor-widget-text-editor\" data-id=\"3acf1d5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"s-header-padding\" style=\"padding: 0;\">How AI is changing approaches to drug discovery<\/h2><p style=\"margin: 0;\">AI is transforming <a href=\"https:\/\/innowise.com\/industries\/pharma\/\">the pharmaceutical industry<\/a>, and one of the most significant areas of impact is in the drug discovery process. Using advanced machine learning algorithms, such as transformer models and graph neural networks, and vast amounts of data, AI is accelerating the discovery of new treatments and improving the efficiency of the entire development process.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41fc11d switcher-section elementor-widget elementor-widget-html\" data-id=\"41fc11d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"domains-container-new domains-1\">\r\n  <ul class=\"domains__list-new\">\r\n    <div class=\"domain__list_container-new\">\r\n\r\n\r\n      <li class=\"domains__list-item-new domains__list-item_active-new\">Data-driven target identification<\/li>\r\n      <li class=\"domains__list-item-new\">Faster pre-clinical research<\/li>\r\n      <li class=\"domains__list-item-new\">AI-driven drug design<\/li>\r\n      <li class=\"domains__list-item-new\">Predictive modeling and simulation<\/li>\r\n      <li class=\"domains__list-item-new\">Optimized clinical trials with AI<\/li>\r\n      <li class=\"domains__list-item-new\">Personalized medicine and real-world evidence<\/li>\r\n\r\n    <\/div>\r\n  <\/ul>\r\n\r\n\r\n\r\n\r\n\r\n\r\n  <div class=\"domains__descriptions-new\">\r\n\r\n\r\n    <div class=\"domains__descriptions-item-new domains__descriptions-item_active-new\">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Data-driven target identification<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">Before designing a drug, we need to pinpoint the therapeutic target \u2013 a specific enzyme, a mutated gene, or a critical signaling pathway. Through analysis of large-scale biological data, including genomic and transcriptomic information from next-generation sequencing (NGS), AI helps identify the best therapeutic opportunities, uncover complex patterns and connections that traditional methods may miss. This leads to the discovery of new targets and innovative treatments.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Data-driven-target-identification.png\" alt=\"\">\r\n      <\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Faster pre-clinical research<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI optimizes pre-clinical research, mining data from in vitro and in vivo studies to predict compound efficacy and toxicity. This method helps researchers make smart choices about which compounds to pursue and thus save both time and resources. Furthermore, AI can optimize experimental design in pre-clinic selection of drug candidates for further development.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Faster-pre-clinical-research.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>AI-driven drug design<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI is changing drug design with the generation of novel molecular structures optimized for efficacy and safety. AI algorithms identify promising candidates and explore chemical space beyond the limitations of traditional methods by analyzing massive datasets of existing compounds and their target interactions. This accelerates the discovery of innovative treatments with the potential to address unmet medical needs.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/AI-driven-drug-design.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Predictive modeling and simulation<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI-powered predictive modeling and simulation further refines drug design by mimicking the behavior of complex biological systems. This in silico approach predicts drug performance at various stages, from absorption and distribution to metabolism and excretion: this way, the researchers can easily identify drug candidates for desired properties prior to costly experimental testing. This significantly improves the chances of clinical success.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Predictive-modeling-and-simulation.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Optimized clinical trials with AI<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI is playing an increasingly important role in clinical trials. It's used to analyze data from previous trials, identify patterns, and predict potential issues. This helps researchers design better trials, find the right patients, and increase the chances of a successful outcome while reducing costs and timelines. AI can also help them easily find and recruit patients for clinical trials. It can match patients to trials based on their specific characteristics and the trial criteria.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Optimized-clinical-trials-with-AI.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Personalized medicine and real-world evidence<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">The advancement of personalized medicine is supported by AI's ability to analyze large amounts of patient genomic data and medical history to identify individual biomarkers and develop targeted therapies. In addition, AI is analyzing real-world evidence and post-marketing surveillance data to identify potential safety issues and improve treatment outcomes in real-world settings.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Personalized-medicine-and-real-world-evidence.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    \r\n\r\n\r\n  <\/div>\r\n<\/div>\r\n\r\n\r\n\r\n\r\n\r\n<div class=\"mobile-domains-new domains-1\">\r\n\r\n  <div class=\"mobile-domains-navitem-new active\" data-mobile-domain=\"domain-1\"><span>Data-driven target identification<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">Before designing a drug, we need to pinpoint the therapeutic target \u2013 a specific enzyme, a mutated gene, or a critical signaling pathway. Through analysis of large-scale biological data, including genomic and transcriptomic information from next-generation sequencing (NGS), AI helps identify the best therapeutic opportunities, uncover complex patterns and connections that traditional methods may miss. This leads to the discovery of new targets and innovative treatments.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Data-driven-target-identification.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-2\"><span>Faster pre-clinical research<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI optimizes pre-clinical research, mining data from in vitro and in vivo studies to predict compound efficacy and toxicity. This method helps researchers make smart choices about which compounds to pursue and thus save both time and resources. Furthermore, AI can optimize experimental design in pre-clinic selection of drug candidates for further development.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Faster-pre-clinical-research.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-3\"><span>AI-driven drug design<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI is changing drug design with the generation of novel molecular structures optimized for efficacy and safety. AI algorithms identify promising candidates and explore chemical space beyond the limitations of traditional methods by analyzing massive datasets of existing compounds and their target interactions. This accelerates the discovery of innovative treatments with the potential to address unmet medical needs.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/AI-driven-drug-design.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-4\"><span>Predictive modeling and simulation<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI-powered predictive modeling and simulation further refines drug design by mimicking the behavior of complex biological systems. This in silico approach predicts drug performance at various stages, from absorption and distribution to metabolism and excretion: this way, the researchers can easily identify drug candidates for desired properties prior to costly experimental testing. This significantly improves the chances of clinical success.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Predictive-modeling-and-simulation.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-5\"><span>Optimized clinical trials with AI<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI is playing an increasingly important role in clinical trials. It's used to analyze data from previous trials, identify patterns, and predict potential issues. This helps researchers design better trials, find the right patients, and increase the chances of a successful outcome while reducing costs and timelines. AI can also help them easily find and recruit patients for clinical trials. It can match patients to trials based on their specific characteristics and the trial criteria.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Optimized-clinical-trials-with-AI.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-6\"><span>Personalized medicine and real-world evidence<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">The advancement of personalized medicine is supported by AI's ability to analyze large amounts of patient genomic data and medical history to identify individual biomarkers and develop targeted therapies. In addition, AI is analyzing real-world evidence and post-marketing surveillance data to identify potential safety issues and improve treatment outcomes in real-world settings.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Personalized-medicine-and-real-world-evidence.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n<\/div>\r\n\r\n\r\n\r\n<script>\r\ndocument.addEventListener('DOMContentLoaded', () => {\r\n  const mobileNavItems = document.querySelectorAll('.domains-1 .mobile-domains-navitem-new');\r\n\r\n  mobileNavItems.forEach(item => {\r\n    item.addEventListener('click', () => {\r\n      \/\/ \u0423\u0431\u0438\u0440\u0430\u0435\u043c \u043a\u043b\u0430\u0441\u0441 active \u0443 \u0432\u0441\u0435\u0445 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u043e\u0432\r\n      mobileNavItems.forEach(nav => {\r\n        nav.classList.remove('active');\r\n        const navContent = nav.querySelector('.mobile-domain-list-new');\r\n        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data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"s-header-padding\" style=\"padding: 30px 0 0 0;\">AI-driven services Innowise offers for drug discovery<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c50a4c9 elementor-widget elementor-widget-html\" data-id=\"c50a4c9\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"grey-blocks\">\r\n    <div class=\"grey-block\">\r\n        <span>01<\/span>\r\n        <p>Multiomics data analysis<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block\">\r\n        <span>02<\/span>\r\n        <p>Clinical data analysis<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block\">\r\n        <span>03<\/span>\r\n        <p>Scientific research data analysis<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block\">\r\n        <span>04<\/span>\r\n        <p>De novo drug design<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block\">\r\n        <span>05<\/span>\r\n        <p>ML + molecular dynamics<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block\">\r\n        <span>06<\/span>\r\n        <p>ML + molecular docking<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block hidden\">\r\n        <span>07<\/span>\r\n        <p>ML + pharmacokinetic modeling<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block hidden\">\r\n        <span>08<\/span>\r\n        <p>Hit identification<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block hidden\">\r\n        <span>09<\/span>\r\n        <p>Patient stratification<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block hidden\">\r\n        <span>10<\/span>\r\n        <p>Data mining<\/p>\r\n    <\/div>\r\n    <div class=\"grey-block hidden\">\r\n        <span>11<\/span>\r\n        <p>Drug optimization<\/p>\r\n    <\/div>\r\n    <span class=\"show-all-blocks\">Show all<\/span>\r\n<\/div>\r\n\r\n<script>\r\n    document.addEventListener('DOMContentLoaded', () => {\r\n    const showAllButton = document.querySelector('.show-all-blocks');\r\n    const hiddenBlocks = document.querySelectorAll('.grey-block.hidden');\r\n\r\n    showAllButton.addEventListener('click', () => {\r\n        const areHidden = Array.from(hiddenBlocks).some(block => block.classList.contains('hidden'));\r\n\r\n        if (areHidden) {\r\n            hiddenBlocks.forEach(block => block.classList.remove('hidden'));\r\n            showAllButton.textContent = 'Show less';\r\n        } else {\r\n            hiddenBlocks.forEach(block => block.classList.add('hidden'));\r\n            showAllButton.textContent = 'Show all';\r\n        }\r\n    });\r\n});\r\n<\/script>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5cb4a70 relative e-flex e-con-boxed e-con e-parent\" data-id=\"5cb4a70\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-041e79b elementor-absolute elementor-widget elementor-widget-image\" data-id=\"041e79b\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"306\" height=\"640\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Image-Circles-2.png\" class=\"attachment-full size-full wp-image-174326\" alt=\"\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Image-Circles-2.png 306w, https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Image-Circles-2-143x300.png 143w, https:\/\/innowise.com\/wp-content\/uploads\/2024\/11\/Image-Circles-2-6x12.png 6w\" sizes=\"(max-width: 306px) 100vw, 306px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f5872b5 e-con-full e-flex e-con e-child\" data-id=\"f5872b5\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7748990 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"7748990\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Improve your AI-driven drug discovery with\u00a0Innowise.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c1801d cta-desc-text elementor-widget elementor-widget-text-editor\" data-id=\"6c1801d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tOur AI-driven services help you speed up your pipelines and get more accurate results.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b9b8c6 elementor-align-left elementor-widget__width-initial elementor-widget-mobile__width-inherit cta-btn elementor-widget elementor-widget-button\" data-id=\"2b9b8c6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#contact-form\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Get started today!<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7a8164d e-con-full e-flex e-con e-parent\" data-id=\"7a8164d\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-b92a2ce e-con-full e-flex e-con e-child\" data-id=\"b92a2ce\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f2e3f66 elementor-widget elementor-widget-text-editor\" data-id=\"f2e3f66\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 style=\"margin: 0;\" class=\"s-header-padding\">Key benefits of AI in drug discovery and development<\/h2>\n<p class=\"custom-blog-p\">AI is a total change-maker in the pharmaceutical industry: it offers lots of benefits that make the drug discovery and development process smoother and more efficient.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69508c4 elementor-widget elementor-widget-html\" data-id=\"69508c4\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"domains-container-new domains-2\">\r\n  <ul class=\"domains__list-new\">\r\n    <div class=\"domain__list_container-new\">\r\n\r\n\r\n      <li class=\"domains__list-item-new domains__list-item_active-new\">Reduced development time and costs<\/li>\r\n      <li class=\"domains__list-item-new\">More effective drugs<\/li>\r\n      <li class=\"domains__list-item-new\">Improved clinical trial design<\/li>\r\n      <li class=\"domains__list-item-new\">Greater predictive capabilities<\/li>\r\n      <li class=\"domains__list-item-new\">Drug repurposing opportunities<\/li>\r\n      <li class=\"domains__list-item-new\">Personalized medicine<\/li>\r\n      <li class=\"domains__list-item-new\">Upgraded drug screening<\/li>\r\n      <li class=\"domains__list-item-new\">Optimized drug formulation<\/li>\r\n      <li class=\"domains__list-item-new\">Improved patient recruitment<\/li>\r\n\r\n    <\/div>\r\n  <\/ul>\r\n\r\n\r\n\r\n\r\n\r\n\r\n  <div class=\"domains__descriptions-new\">\r\n\r\n\r\n    <div class=\"domains__descriptions-item-new domains__descriptions-item_active-new\">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Reduced development time and costs<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">Thanks to the rapid analysis of vast datasets, ML algorithms expedite every stage, from target identification and lead optimization to clinical trial design and drug repurposing. Compared to traditional methods, this accelerated pace significantly shortens development timelines and reduces costs.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Reduced-development-time-and-costs-1.png\" alt=\"\">\r\n      <\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>More effective drugs<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">Correctly trained AI models are able to predict critical properties like target binding affinity, pharmacokinetic\/pharmacodynamic profiles, and ADMET properties \u2014 and therefore help researchers design drugs with enhanced efficacy. This AI-driven approach optimizes drug candidates for improved target engagement, reduced toxicity, and ultimately, better patient outcomes.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/More-effective-drugs.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Improved clinical trial design<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI models also help optimize clinical trial design by identifying ideal patient cohorts through predictive biomarkers and refining trial protocols for efficiency. This targeted approach increases the probability of successful trial outcomes and accelerates the delivery of life-changing medications to patients.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Improved-clinical-trial-design.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Greater predictive \u0441apabilities<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI significantly increases the predictive power of drug discovery and helps researchers to forecast drug behavior, efficacy, and safety profiles. Using a variety of techniques, AI identifies promising candidates and potential liabilities early and accelerates development timelines.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Greater-predictive-\u0441apabilities.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Drug repurposing opportunities<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI algorithms analyze large data sets to identify new therapeutic applications for existing drugs. This drug repurposing strategy accelerates the development timeline because these drugs already have established safety profiles and clinical data, which decreases the need for extensive and costly de novo trials.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Drug-repurposing-opportunities.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3><a href=\"https:\/\/innowise.com\/industries\/healthcare\/ai\/\">Personalized medicine<\/a><\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI analyzes patient-specific data, including genetic and molecular profiles, to tailor treatments for optimal efficacy. For example, AI can predict an individual's response to a specific chemotherapy regimen based on their tumor's genetic makeup so that oncologists can select the most effective treatment while minimizing adverse reactions. This personalized approach maximizes the benefit of an individual patient.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Personalized-medicine.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Upgraded drug screening<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI automates high-throughput screening of vast compound libraries to identify promising drug candidates with greater efficiency than traditional methods. Through analysis of molecular structures and predicting their interactions with target proteins, AI can prioritize compounds with the highest likelihood of success, which significantly reduces the time and cost associated with early stages of drug discovery.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Upgraded-drug-screening.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n    \r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Optimized drug formulation<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI algorithms analyze the interplay of ingredients and their impact on stability, solubility, and bioavailability and predict optimal drug formulations. For instance, AI can model how different excipients affect a drug's dissolution rate and absorption in the gastrointestinal tract, which leads to improved drug efficacy, easier administration (e.g., oral instead of intravenous), and better patient compliance.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Optimized-drug-formulation.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n    \r\n    <div class=\"domains__descriptions-item-new \">\r\n      <div class=\"slider-title-new\">\r\n        <h3>Improved patient recruitment<\/h3>\r\n      <\/div>\r\n      <p class=\"slider-desc-new\">AI-powered analytics identifies ideal candidates for clinical trials based on a comprehensive analysis of patient data, including medical history, demographics, and genetic information. It identifies patients most likely to respond positively to a treatment. This targeted recruitment strategy improves trial efficiency, increases success rates, and ultimately accelerates the delivery of new therapies to patients.<\/p>\r\n      <div class=\"slider-image-block-new\"><img decoding=\"async\"\r\n          src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Improved-patient-recruitment.png\" alt=\"\"><\/div>\r\n    <\/div>\r\n\r\n\r\n  <\/div>\r\n<\/div>\r\n\r\n\r\n\r\n\r\n\r\n<div class=\"mobile-domains-new domains-2\">\r\n\r\n  <div class=\"mobile-domains-navitem-new active\" data-mobile-domain=\"domain-1\"><span>Reduced development time and costs<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">Thanks to the rapid analysis of vast datasets, ML algorithms expedite every stage, from target identification and lead optimization to clinical trial design and drug repurposing. Compared to traditional methods, this accelerated pace significantly shortens development timelines and reduces costs.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Reduced-development-time-and-costs-1.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-2\"><span>More effective drugs<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">Correctly trained AI models are able to predict critical properties like target binding affinity, pharmacokinetic\/pharmacodynamic profiles, and ADMET properties \u2014 and therefore help researchers design drugs with enhanced efficacy. This AI-driven approach optimizes drug candidates for improved target engagement, reduced toxicity, and ultimately, better patient outcomes.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/More-effective-drugs.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-3\"><span>Improved clinical trial design<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI models also help optimize clinical trial design by identifying ideal patient cohorts through predictive biomarkers and refining trial protocols for efficiency. This targeted approach increases the probability of successful trial outcomes and accelerates the delivery of life-changing medications to patients.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Improved-clinical-trial-design.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-4\"><span>Greater predictive \u0441apabilities<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI significantly increases the predictive power of drug discovery and helps researchers to forecast drug behavior, efficacy, and safety profiles. Using a variety of techniques, AI identifies promising candidates and potential liabilities early and accelerates development timelines.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Greater-predictive-\u0441apabilities.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-5\"><span>Drug repurposing opportunities<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI algorithms analyze large data sets to identify new therapeutic applications for existing drugs. This drug repurposing strategy accelerates the development timeline because these drugs already have established safety profiles and clinical data, which decreases the need for extensive and costly de novo trials.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Drug-repurposing-opportunities.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-6\"><span>Personalized medicine<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI analyzes patient-specific data, including genetic and molecular profiles, to tailor treatments for optimal efficacy. For example, AI can predict an individual's response to a specific chemotherapy regimen based on their tumor's genetic makeup so that oncologists can select the most effective treatment while minimizing adverse reactions. This personalized approach maximizes the benefit of an individual patient.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Personalized-medicine.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-7\"><span>Upgraded drug screening<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI automates high-throughput screening of vast compound libraries to identify promising drug candidates with greater efficiency than traditional methods. Through analysis of molecular structures and predicting their interactions with target proteins, AI can prioritize compounds with the highest likelihood of success, which significantly reduces the time and cost associated with early stages of drug discovery.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Upgraded-drug-screening.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-8\"><span>Optimized drug formulation<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI algorithms analyze the interplay of ingredients and their impact on stability, solubility, and bioavailability and predict optimal drug formulations. For instance, AI can model how different excipients affect a drug's dissolution rate and absorption in the gastrointestinal tract, which leads to improved drug efficacy, easier administration (e.g., oral instead of intravenous), and better patient compliance.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Optimized-drug-formulation.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n  <div class=\"mobile-domains-navitem-new\" data-mobile-domain=\"domain-9\"><span>Improved patient recruitment<\/span>\r\n    <div class=\"mobile-domain-list-new\">\r\n      <p class=\"slider-desc-new\">AI-powered analytics identifies ideal candidates for clinical trials based on a comprehensive analysis of patient data, including medical history, demographics, and genetic information. It identifies patients most likely to respond positively to a treatment. This targeted recruitment strategy improves trial efficiency, increases success rates, and ultimately accelerates the delivery of new therapies to patients.<\/p>\r\n      <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Improved-patient-recruitment.png\" alt=\"\">\r\n    <\/div>\r\n  <\/div>\r\n\r\n<\/div>\r\n\r\n\r\n\r\n\r\n<script>\r\n\r\n  document.addEventListener('DOMContentLoaded', () => {\r\n    const mobileNavItems = document.querySelectorAll('.domains-2 .mobile-domains-navitem-new');\r\n\r\n    mobileNavItems.forEach(item => {\r\n      item.addEventListener('click', () => {\r\n        const isActive = item.classList.contains('active');\r\n\r\n        \/\/ Collapse all items\r\n        mobileNavItems.forEach(nav => {\r\n          nav.classList.remove('active');\r\n          const ul = nav.querySelector('.domains-2 .mobile-domain-list');\r\n          if (ul) ul.style.maxHeight = '0';\r\n        });\r\n\r\n        \/\/ Expand clicked item only if it was not active\r\n        if (!isActive) {\r\n          item.classList.add('active');\r\n          const ul = item.querySelector('.domains-2 .mobile-domain-list');\r\n          if (ul) ul.style.maxHeight = '1000px';\r\n        }\r\n      });\r\n    });\r\n\r\n    const firstNavItem = mobileNavItems.item(0);\r\n\r\n    if (firstNavItem && !firstNavItem.classList.contains('active')) {\r\n      firstNavItem.click();\r\n    }\r\n  });\r\n\r\n<\/script>\r\n\r\n\r\n<script>\r\n  document.addEventListener('DOMContentLoaded', () => {\r\n    const domainsListItems = document.querySelectorAll(\r\n      '.domains-container-new.domains-2  .domains__list-new  .domain__list_container-new  .domains__list-item-new'\r\n    );\r\n    const domainsDescriptions = document.querySelectorAll(\r\n      '.domains-container-new.domains-2  .domains__descriptions-new  .domains__descriptions-item-new'\r\n    );\r\n\r\n    domainsListItems.forEach((domainsListItem, domainsListItemIndex, arr) => {\r\n      domainsListItem.addEventListener('click', () => {\r\n        arr.forEach((item) => {\r\n          if (item === domainsListItem) {\r\n            item.classList.add('domains__list-item_active-new');\r\n          } else {\r\n            item.classList.remove('domains__list-item_active-new');\r\n          }\r\n        });\r\n        domainsDescriptions.forEach(\r\n          (domainsDescriptionsItem, domainsDescriptionsItemIndex) => {\r\n            if (domainsListItemIndex === domainsDescriptionsItemIndex) {\r\n              domainsDescriptionsItem.classList.add(\r\n                'domains__descriptions-item_active-new'\r\n              );\r\n            } else {\r\n              domainsDescriptionsItem.classList.remove(\r\n                'domains__descriptions-item_active-new'\r\n              );\r\n            }\r\n          }\r\n        );\r\n      });\r\n    });\r\n  })\r\n\r\n<\/script>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7440c7b e-con-full e-flex e-con e-parent\" data-id=\"7440c7b\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1b2d7d8 elementor-widget elementor-widget-text-editor\" data-id=\"1b2d7d8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>Examples of successful implementation of AI in drug discovery<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6e8557 tabs-container horisontal-tabs real-cases e-n-tabs-mobile elementor-widget elementor-widget-n-tabs\" data-id=\"d6e8557\" data-element_type=\"widget\" data-settings=\"{&quot;tabs_justify_horizontal&quot;:&quot;start&quot;,&quot;horizontal_scroll&quot;:&quot;disable&quot;}\" data-widget_type=\"nested-tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-tabs\" data-widget-number=\"225346903\" aria-label=\"Onglets. Ouvrez des \u00e9l\u00e9ments avec Entrer ou Espace, fermez-les avec Echape et naviguez \u00e0 l&#039;aide des touches fl\u00e9ch\u00e9es.\">\n\t\t\t<div class=\"e-n-tabs-heading\" role=\"tablist\">\n\t\t\t\t\t<button id=\"e-n-tab-title-2253469031\" class=\"e-n-tab-title\" aria-selected=\"true\" data-tab-index=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"e-n-tab-content-2253469031\" style=\"--n-tabs-title-order: 1;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tInsilico Medicine\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-2253469032\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-2253469032\" style=\"--n-tabs-title-order: 2;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tAtomwise\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-2253469033\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-2253469033\" style=\"--n-tabs-title-order: 3;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tPostEra\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t<div class=\"e-n-tabs-content\">\n\t\t\t\t<div id=\"e-n-tab-content-2253469031\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-2253469031\" data-tab-index=\"1\" style=\"--n-tabs-title-order: 1;\" class=\"e-active elementor-element elementor-element-c266ae1 e-con-full tab-content-container e-flex e-con e-child\" data-id=\"c266ae1\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-6a88daf e-grid e-con-full e-con e-child\" data-id=\"6a88daf\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-72dd53b elementor-widget elementor-widget-text-editor\" data-id=\"72dd53b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<span style=\"font-weight: 400;\">This Hong Kong-based company uses AI for target discovery, drug design and clinical trial prediction. A notable achievement is their development of a drug candidate for idiopathic pulmonary fibrosis (IPF) that has entered Phase II clinical trials. This demonstrates a tangible result of their AI-driven drug discovery platform, which is moving beyond theoretical potential to clinical investigation.<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3168285 elementor-widget elementor-widget-image\" data-id=\"3168285\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"170\" height=\"76\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Insilico-medicine-logo.png\" class=\"attachment-large size-large wp-image-175071\" alt=\"\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Insilico-medicine-logo.png 170w, https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Insilico-medicine-logo-18x8.png 18w\" sizes=\"(max-width: 170px) 100vw, 170px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-2253469032\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-2253469032\" data-tab-index=\"2\" style=\"--n-tabs-title-order: 2;\" class=\" elementor-element elementor-element-c8cfcd1 e-con-full tab-content-container e-flex e-con e-child\" data-id=\"c8cfcd1\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5167335 e-grid e-con-full e-con e-child\" data-id=\"5167335\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e8e388e elementor-widget elementor-widget-text-editor\" data-id=\"e8e388e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<span style=\"font-weight: 400;\">The San Francisco-based company uses deep convolutional neural networks for structure-based drug design. Their AtomNet platform has been used to identify potential drug candidates for several diseases, including Ebola and multiple sclerosis. Their collaborations with pharmaceutical companies such as Eli Lilly and Bayer show the practical application of their technology in real-world drug discovery.<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b106141 elementor-widget elementor-widget-image\" data-id=\"b106141\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"200\" height=\"37\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Atomwise-logo.png\" class=\"attachment-large size-large wp-image-175070\" alt=\"\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Atomwise-logo.png 200w, https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Atomwise-logo-18x3.png 18w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-2253469033\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-2253469033\" data-tab-index=\"3\" style=\"--n-tabs-title-order: 3;\" class=\" elementor-element elementor-element-30ed70d e-con-full tab-content-container e-flex e-con e-child\" data-id=\"30ed70d\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-1491772 e-grid e-con-full e-con e-child\" data-id=\"1491772\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e291e3b elementor-widget elementor-widget-text-editor\" data-id=\"e291e3b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<span style=\"font-weight: 400;\">Known for their expertise in medicinal chemistry and machine learning, PostEra&#8217;s Manifold platform combines machine learning, retrosynthetic analysis, and cloud-based chemical synthesis. Their partnership with Pfizer, initially focused on COVID-19 antivirals, has expanded to other therapeutic areas. Their Open Synthesis initiative underscores their dedication to open source research and collaboration in drug discovery.<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e2da637 elementor-widget elementor-widget-image\" data-id=\"e2da637\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"180\" height=\"41\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/images-1.png\" class=\"attachment-large size-large wp-image-175069\" alt=\"\" srcset=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/images-1.png 180w, https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/images-1-18x4.png 18w\" sizes=\"(max-width: 180px) 100vw, 180px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-aa07681 e-con-full e-flex e-con e-parent\" data-id=\"aa07681\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-2c2bc5c e-con-full e-flex e-con e-child\" data-id=\"2c2bc5c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-807d640 elementor-widget elementor-widget-text-editor\" data-id=\"807d640\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 style=\"padding: 0;\" class=\"s-header-padding\" style=\"margin: 0;\">Real-life Innowise case studies of AI in drug discovery<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1268997 elementor-widget elementor-widget-html\" data-id=\"1268997\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"blog-gallery-container\">\r\n    <!-- Block 1 -->\r\n    <div class=\"gallery-block\">\r\n        <h3>Automating molecular property prediction in drug discovery<\/h3>\r\n        <div class=\"gallery-block-desc\">\r\n            <p class=\"short-text\">\r\n                We developed a machine learning model to predict aqueous solubility for novel small molecule inhibitors targeting protein X. Using experimentally determined solubility data, we trained a custom ML pipeline leveraging molecular descriptors. The model achieved an R-squared of 0.70 on external validation, making it a valuable tool for screening virtual libraries and prioritizing compounds for synthesis.\r\n            <\/p>\r\n            <div class=\"full-text hidden\">\r\n                <p>\r\n                We developed a machine learning model to predict aqueous solubility for novel small molecule inhibitors targeting protein X. Using experimentally determined solubility data, we trained a custom ML pipeline leveraging molecular descriptors. The model achieved an R-squared of 0.70 on external validation, making it a valuable tool for screening virtual libraries and prioritizing compounds for synthesis.\r\n            <\/p>\r\n            <ul>\r\n                <li>Molecular weight<\/li>\r\n                <li>LogP<\/li>\r\n                <li>Topological polar surface area<\/li>\r\n                <li>Hydrogen bond donor\/acceptor counts<\/li>\r\n                <li>Additional molecular properties<\/li>\r\n            <\/ul>\r\n            <p>\r\n                During development, five-fold cross-validation yielded an average R-squared of 0.75. While not replacing experimental measurements, this model helps accelerate the lead optimization process by enabling rapid virtual screening of compound libraries prior to synthesis and testing.\r\n            <\/p>\r\n            <\/div>\r\n            <span class=\"read-more\">Read more<\/span>\r\n        <\/div>\r\n        <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Automating-molecular-property-prediction-in-drug-discovery.png\" \/ alt=\"\">\r\n    <\/div>\r\n\r\n    <!-- Block 2 -->\r\n    <div class=\"gallery-block\">\r\n        <h3>Enhancing PBPK modeling with machine learning<\/h3>\r\n        <div class=\"gallery-block-desc\">\r\n            <p class=\"short-text\">\r\n                We improved hepatic clearance predictions in a GastroPlus PBPK model using a hybrid machine learning approach. Combining LightGBM and D-MPNN graph neural networks, our model achieved an R-squared of 0.82 in cross-validation. The integration reduced average fold error from 2.5 to 2.0 compared to traditional in vitro scaling methods, enabling more reliable drug exposure predictions.\r\n            <\/p>\r\n            <div class=\"full-text hidden\">\r\n                <p>\r\n                We improved hepatic clearance predictions in a GastroPlus PBPK model using a hybrid machine learning approach. Combining LightGBM and D-MPNN graph neural networks, our model achieved an R-squared of 0.82 in cross-validation. The integration reduced average fold error from 2.5 to 2.0 compared to traditional in vitro scaling methods, enabling more reliable drug exposure predictions.\r\n                <br\/>\r\n                The study utilized 150 compounds' chemical structures and in vitro hepatocyte stability data. We developed a custom pipeline incorporating Gradient Boosting Machine model with LightGBM and Directed Message Passing Neural Network architecture. The improved accuracy directly supported better-informed dose selection for preclinical studies.\r\n            <\/p>\r\n            <\/div>\r\n            <span class=\"read-more\">Read more<\/span>\r\n        <\/div>\r\n        <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Enhancing-PBPK-modeling-with-machine-learning.png\" \/ alt=\"\">\r\n    <\/div>\r\n\r\n    <!-- Block 3 -->\r\n    <div class=\"gallery-block\">\r\n        <h3>Social media monitoring for pharmacovigilance<\/h3>\r\n        <div class=\"gallery-block-desc\">\r\n            <p class=\"short-text\">\r\n                Before designing a drug, we need to pinpoint the therapeutic target \u2013 whether it's a specific enzyme, a mutated gene, or a critical signaling pathway. Through analysis of large-scale biological data, including genomic and transcriptomic information from next-generation sequencing (NGS), AI helps identify the best therapeutic targeting opportunities. Advanced machine learning algorithms, such as graph neural networks and transfer learning.\r\n            <\/p>\r\n            <div class=\"full-text hidden\">\r\n                 <p>\r\n                We created a Twitter monitoring system to detect adverse drug reactions (ADRs) for drug Y. Using NLP and a custom machine learning classifier, we achieved an F1-score of 0.78 on 5,000 annotated tweets. The system successfully identified several potential drug safety signals during a 3-month period, serving as an early warning system to complement traditional pharmacovigilance.\r\n                <br\/>\r\n                The system employed named entity recognition and sentiment analysis to filter relevant tweets. Our classifier was specifically trained to differentiate between genuine ADR mentions and general drug discussions. Identified signals were forwarded to the pharmacovigilance team for further investigation and processing, enhancing traditional safety monitoring methods.\r\n            <\/p>\r\n            <\/div>\r\n            <span class=\"read-more\">Read more<\/span>\r\n        <\/div>\r\n        <img decoding=\"async\" src=\"https:\/\/innowise.com\/wp-content\/uploads\/2024\/12\/Social-media-monitoring-for-pharmacovigilance.png\" \/ alt=\"\">\r\n    <\/div>\r\n<\/div>\r\n\r\n<style>\r\n    .full-text.hidden {\r\n        display: none;\r\n    }\r\n<\/style>\r\n\r\n<script>\r\n    document.addEventListener(\"DOMContentLoaded\", () => {\r\n        document.querySelectorAll(\".read-more\").forEach(button => {\r\n            button.addEventListener(\"click\", () => {\r\n                const descContainer = button.parentElement;\r\n                const fullText = descContainer.querySelector(\".full-text\");\r\n                const shortText = descContainer.querySelector(\".short-text\");\r\n\r\n                if (fullText.classList.contains(\"hidden\")) {\r\n                    fullText.classList.remove(\"hidden\");\r\n                    shortText.style.display = \"none\";\r\n                    button.textContent = \"Read less\";\r\n                } else {\r\n                    fullText.classList.add(\"hidden\");\r\n                    shortText.style.display = \"block\";\r\n                    button.textContent = \"Read more\";\r\n                }\r\n            });\r\n        });\r\n    });\r\n<\/script>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a292ae2 e-con-full e-flex e-con e-parent\" data-id=\"a292ae2\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c75abf elementor-widget elementor-widget-heading\" data-id=\"5c75abf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQ<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd70d46 faq elementor-widget elementor-widget-accordion\" data-id=\"cd70d46\" data-element_type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2151\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-2151\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-plus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Can AI take the place of traditional methods in drug development?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2151\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-2151\"><span style=\"font-weight: 400;\">AI isn&#8217;t a replacement for traditional methods in drug development. It&#8217;s a great tool to help speed things up and make them more efficient. While AI algorithms can analyze huge amounts of data, predict molecular properties, and identify potential drug candidates more efficiently than traditional approaches, it&#8217;s still important to test them out in real life.<\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2152\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-2152\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-plus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">How does Innowise make sure that AI projects comply with the relevant regulations?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2152\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-2152\"><span style=\"font-weight: 400;\">Innowise&#8217;s AI projects are built to comply with all relevant regulatory standards (FDA, EMA, ICH, GDPR, HIPAA). We have rigorous data governance, validated and documented models, and a commitment to explainable AI. We make sure that the data we use is of good quality, secure, and transparent throughout the development process. This thorough process helps us avoid potential risks and guarantee reliable results for our clients.<\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2153\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-2153\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-plus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">What expertise do Innowise\u2019s AI developers bring to drug discovery?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2153\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-2153\"><span style=\"font-weight: 400;\">Proficient in machine learning (deep learning, reinforcement learning, classical techniques), cheminformatics, bioinformatics, and drug development processes, Innowise leverages industry-standard tools and technologies to create impactful AI solutions for drug discovery.<\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2154\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-2154\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-plus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">How can I hire AI developers from Innowise for my project?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2154\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-2154\"><span style=\"font-weight: 400;\">You can hire AI developers from Innowise by contacting our team through our website. We offer flexible engagement models, including project-based contracts and dedicated teams, to best suit your project needs and budget and assemble a team of AI developers with the right expertise to deliver successful outcomes.<\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can AI take the place of traditional methods in drug development?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<span style=\\\"font-weight: 400;\\\">AI isn&#8217;t a replacement for traditional methods in drug development. It&#8217;s a great tool to help speed things up and make them more efficient. 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class=\"author-info__personal-data__name\">\r\n                Roman Sen\r\n            <\/span>\r\n      <span class=\"author-info__role\">Head of the AI Department at Innowise<\/span>\r\n    <\/div>\r\n  <\/div>\r\n  <div class=\"author-gray-line\"><\/div>\r\n  <div class=\"author-date-publish\">\r\n    <span>Date:<\/span> <span>Nov 20, 2024<\/span>\r\n  <\/div>\r\n  <div class=\"author-gray-line\"><\/div>\r\n  <div class='author-share-butons'>\r\n    <p>Share:<\/p>\r\n    <div class=\"share-buttons\">\r\n      <button class=\"share-button facebook\"><svg width=\"24\" height=\"25\" viewBox=\"0 0 24 25\" fill=\"none\"\r\n          xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\r\n          <g clip-path=\"url(#clip0_51466_22853)\">\r\n            <path\r\n              d=\"M14.1677 25.8047V15.758H17.4323L17.929 11.8714H14.1677V9.37802C14.1677 8.27802 14.4516 7.47135 16.0129 7.47135H18V3.95135C17.6452 3.87802 16.4387 3.80469 15.0903 3.80469C12.1806 3.80469 10.1935 5.63802 10.1935 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});\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6f2265c table-content-container\" data-id=\"6f2265c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d78bcb author-wrapper e-flex e-con-boxed e-con e-parent\" data-id=\"3d78bcb\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-55a1b60 elementor-widget elementor-widget-html\" data-id=\"55a1b60\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"author-wrap\">\r\n       <div class=\"author-info\">\r\n        <img loading=\"lazy\" decoding=\"async\"\r\n        class=\"author-info__img\"\r\n          src=\"\/wp-content\/uploads\/2025\/06\/Philip-Tikhanovich.png\"\r\n          width=\"50\"\r\n          height=\"50\"\r\n          alt=\"author\"\r\n        \/>\r\n        <div class=\"author-info__personal-data\">\r\n            <span class=\"author-info__personal-data__name\">\r\n                Philip Tikhanovich\r\n\r\n            <\/span>\r\n          <span class=\"author-info__role\">Head of Big Data and AI\r\n<\/span>\r\n        <\/div>\r\n      <\/div>\r\n      <div class=\"author-gray-line\"><\/div>\r\n      <div class=\"author-date-publish\">\r\n        <span>Date:<\/span> <span>Nov 20, 2024<\/span>\r\n      <\/div>\r\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ddeaf0a table-content-container stickyWrapper72 e-con-full e-flex e-con e-child\" data-id=\"ddeaf0a\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-d734971 e-con-full stickyTable e-flex e-con e-child\" data-id=\"d734971\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-15981c0 author-block e-con-full e-flex e-con e-child\" data-id=\"15981c0\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2c275bd ddcv elementor-widget elementor-widget-html\" data-id=\"2c275bd\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\r\n\r\n.article-description > .e-con-inner{\r\n     align-items: baseline !important;\r\n}\r\n\r\n.toc-wrapper{\r\n    height: 100%;\r\n}\r\n\r\n.toc-wrapper .toc-2{\r\n    overflow-y: auto;\r\n}\r\n\r\n.toc-wrapper .toc-2::-webkit-scrollbar\r\n {\r\n    position: absolute !important;\r\n    width: 4px !important;\r\n    background-color: #F5F5F7 !important;\r\n}\r\n\r\n.toc-wrapper .toc::-webkit-scrollbar-thumb {\r\n    position: absolute !important;\r\n    background-color: #999999 !important;\r\n    border-radius: 4px !important;\r\n}\r\n\r\n.stickyWrapper72 {\r\n    position: sticky;\r\n    top: 132px;\r\n    bottom: auto;   \r\n}  \r\n\r\n<\/style>\r\n\r\n<script>\r\ndocument.addEventListener(\"DOMContentLoaded\", ()=>{\r\n        \r\nconst headerElement = document.querySelector(\".new-menu\");\r\n\r\nconst stickyElement = document.querySelector(\".stickyWrapper72\");\r\n\r\nconst headerElementH = headerElement.clientHeight;\r\n\r\nstickyElement.style.top =  headerElementH + 60 + \"px\"\r\n        \r\n});\r\n<\/script>\r\n\r\n<!--NOTE Change data-id in wrapper styles for hide this block on the mobile device screen-->\r\n<div class=\"toc-wrapper\">\r\n  <h4 class=\"toc-title\">Table of contents<\/h4>\r\n  <div class=\"toc toc-2\"><\/div>\r\n<\/div>\r\n\r\n<script>\r\n  \/\/NOTE Add the value from h2 as the key and the text you want to display as the key value in LINKS variable:\r\n  \/\/   const LINKS = {\r\n  \/\/       \"The demand for retail digital transformation\": \"The demand\"\r\n  \/\/   }\r\n\r\n  const LINKS = {\r\n    \"Unleashing the power of .NET 8\": \"gggggg\",\r\n    \"Revamping legacy systems: unlocking business potential through software modernization\":\r\n      \"hello\",\r\n  };\r\n\r\n  const OFFSET = 70;\r\n   const PADDING_BOTTOM_FOR_SCROLL = 100;\r\n  let headerList = [];\r\n  let allLinks = [];\r\n  \r\n  let ticking = false;\r\n     \r\n\r\n  const createList = () => {\r\n      \r\n      console.log('create');\r\n      \r\n      \r\n    const tocTarget = document.querySelector(\".toc.toc-2\");\r\n    const toc = document.createElement(\"ul\");\r\n    \r\n    \r\n    \r\n     headerList = [...document.querySelectorAll(\"h2\")];\r\n\r\n\r\n    \r\n    headerList = headerList.slice(0, -3);\r\n    \r\n    \r\n    \r\n    \r\n   headerList.forEach((header,index) => {\r\n      const headerId = header.getAttribute(\"id\");\r\n      const headerText =\r\n        header.dataset.title && header.dataset.title !== \"\"\r\n          ? header.dataset.title\r\n          : header.textContent;\r\n          \r\n\r\n      const headerTocText = header.dataset.title;\r\n\r\n      const idFromText =\r\n        !headerId || headerId === \"\"\r\n          ? headerText\r\n              .toLowerCase()\r\n              .replace(\/[^\\w ]+\/g, \"\")\r\n              .replace(\/ +\/g, \"-\")\r\n          : headerId;\r\n          \r\n         \r\n\r\n      const newListItem = document.createElement(\"li\");\r\n      const newLink = document.createElement(\"a\");\r\n      newLink.setAttribute(\"href\", \"#\" + idFromText);\r\n      newLink.textContent = LINKS[headerText] || headerText;\r\n\r\n      newLink.addEventListener(\"click\", (e) => {\r\n          \r\n        e.preventDefault();\r\n        const y =\r\n          header.getBoundingClientRect().top +\r\n          window.pageYOffset -\r\n          PADDING_BOTTOM_FOR_SCROLL -\r\n          OFFSET;\r\n          ticking = true; \r\n        window.scrollTo({ top: y, behavior: \"smooth\" });\r\n        \r\n        setTimeout(()=>{\r\n            ticking = false;\r\n        },500);\r\n        \r\n      });\r\n      \r\n\r\n      newListItem.appendChild(newLink);\r\n    toc.appendChild(newListItem);\r\n    \r\n    \r\n    });\r\n    tocTarget.appendChild(toc);\r\n    allLinks = Array.from(document.querySelector(\".toc.toc-2\").querySelectorAll(\"ul li\"));\r\n  };\r\n\r\n  const setContainerHeight = () => {\r\n    const windowHeight = window.innerHeight;\r\n    const tocContainer = document.querySelector(\".ddcv\");\r\n\r\n    tocContainer.style.maxHeight = \"calc(100vh - 230px)\";\r\n    tocContainer.style.minHeight = \"200px\";\r\n  };\r\n\r\n\r\n  const checkScroll = () => {\r\n      const windowHeight = window.innerHeight;\r\n      const scrollTop = window.scrollY || document.documentElement.scrollTop;\r\n\r\n      let selectedHeaderIndex = -1;\r\n\r\n      headerList.forEach((header, index) => {\r\n        \r\n  const posTop = header.getBoundingClientRect().top;\r\n       \r\n\r\n const isInViewport = posTop + elem.clientHeight <= window.innerHeight ;\r\n \r\n console.log(isInViewport,index);\r\n \r\n if(isInViewport){\r\n      selectedHeaderIndex = index;\r\n }\r\n        \r\n\r\n\r\n        \r\n      });\r\n      \r\n\r\n\r\n        allLinks.forEach((link, i) => {\r\n            if(i === selectedHeaderIndex){\r\n              link.classList.remove(\"pre-active\");  \r\n              link.classList.add(\"active\");\r\n            }\r\n            if(i < selectedHeaderIndex){\r\n              link.classList.add(\"pre-active\"); \r\n               link.classList.remove(\"active\");\r\n            }\r\n             if(i > selectedHeaderIndex){\r\n            link.classList.remove(\"pre-active\");\r\n            link.classList.remove(\"active\");\r\n            }\r\n            \r\n            \r\n            \r\n        });\r\n        \r\n\r\n\r\n  };\r\n\r\n  const loadAllImages = () => {\r\n    const images = document.getElementsByTagName(\"img\");\r\n\r\n    for (let i = 0; i < images.length; i++) {\r\n      const img = images[i];\r\n      const src = img.getAttribute(\"data-src\") || img.src;\r\n      img.src = src;\r\n    }\r\n  };\r\n\r\n  loadAllImages();\r\n  \r\n  \r\n  \r\n\r\n\r\n  document.addEventListener(\"DOMContentLoaded\", () => {\r\n     setTimeout(()=>{\r\n           createList();\r\n    setContainerHeight();\r\n  \r\n    \r\n    document.addEventListener(\"scroll\", (event) => {\r\n  if (!ticking) {\r\n    checkScroll();\r\n  }\r\n});\r\n    \r\n    \r\n},300) \r\n\r\n    \r\n  });\r\n\r\n\r\n  \r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-08a0473 e-flex e-con-boxed e-con e-parent\" data-id=\"08a0473\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9afbf70 elementor-widget elementor-widget-shortcode\" data-id=\"9afbf70\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f100240-o1\" lang=\"en-US\" dir=\"ltr\" data-wpcf7-id=\"100240\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/fr\/wp-json\/wp\/v2\/posts\/174727#wpcf7-f100240-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" enctype=\"multipart\/form-data\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"100240\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f100240-o1\" \/><input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/><input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/><input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/fieldset>\n<style>\n#form-templates .contact__info {\n  background-color: #f4f4f4;\n  padding: 70px 44px 70px 50px;\n  position: relative;\n  max-width: 540px;\n  width: 100%;\nborder: 1px solid #AEB1B7;\n}\n\n#form-templates .contact__info-background {\n  z-index: -1;\n  position: absolute;\n  top: 20px;\n  left: 20px;\n  width: 100%;\n  height: 100%;\n  border: 1px dashed #ef4557;\n}\n\n\n#form-templates .new-container{\ndisplay: flex;\njustify-content: space-between;\nflex-wrap: wrap;\n}\n\n\n#form-templates{\npadding: 100px 15px 100px 15px;        \n}\n\n#form-templates .contact__info-heading {\n  font-family: 'Sora' !important;\n  font-style: normal !important;\n  font-weight: 400 !important;\n  font-size: 36px !important;\n  line-height: 46px !important;\n  color: #2E2E2E !important;\n   margin-bottom: 60px !important;\n\n}\n\n\n#form-templates .message label{\ncolor: #585858 !important;   \n}\n\n.elementor-widget-container.form-template h2,.elementor-widget-container.form-template h1{\n font-size: 60px !important;\n  line-height: 70px !important;\n  font-family: \"Sora\", Sans-serif;\n  font-weight: 400;\n  margin: 0;  \n  margin-bottom: 20px;\n}\n\n\n\n\n.elementor-widget-container.form-template p{\n  font-family: \"Karla\", Sans-serif;\n  font-size: 22px;\n  font-weight: 400;\n  line-height: 28px;\n  color: var( --e-global-color-primary );\n  max-width: 700px;\n  margin: 0; \n  margin-bottom: 40px;\n} \n  \n\n\n.new-container #spinner{\nwidth: 50%;\nmax-width: 700px;\n}\n\n\n#form-templates .new-container #spinner div.contact-us__wrapper:nth-child(6){\ngap:30px; \n    \n}\n\n\n#form-templates .contact__info-heading {\n  margin-bottom: 67px;\n  font-size: 36px;\n  font-family: karla;\n  color:  #2E2E2E;\n\n  line-height: 49px;\n}\n\n#form-templates .contact__info-steps {\n  display: flex;\n  flex-direction: column;\n  max-width: 425x;\n  row-gap: 20px;\n  border-left: 1px solid #2e2e2e;\n}\n\n#form-templates .contact__info-block {\n  position: relative;\n  padding-left: 45px;\n}\n\n#form-templates .contact__info-block:last-child {\n  box-shadow: -1px 0 0 1px #f4f4f4;\n}\n\n#form-templates .contact__info-step {\n  position: absolute;\n  border: 1px solid #2e2e2e;\n  width: 40px;\n  height: 40px;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border-radius: 20px;\n  left: -20px;\n  top: -8px;\n  background-color: #F4F4F4;\n  color:  #2E2E2E;\n\nfont-family: Karla;\nfont-weight: 700;\nfont-size: 18px;\nline-height: 28px;\n\n}\n\n.elementor-widget-global .contact__info-step {\n        color:  #2E2E2E;\n}\n\n#form-templates .contact__info-text {\n  margin: 0;\n  font-size: 16px;\n  line-height: 26px;\n  color: #2E2E2E;\n  font-family: karla;\n\n  width: 100%;\n}\n\n\n#form-templates .contact-us__send{\nflex-shrink: 0;\nmargin-top:0;\n}\n\n\n\n@media screen and (max-width: 1279px) {\n    .new-container #spinner{\n        width: 100%;\n        max-width:100%;\n        margin-bottom:40px;\n    }\n    \n\n    .new-container .contact__info {\n        max-width: 700px !important;\n    }\n    \n}\n\n\n@media screen and (max-width: 1279px) {\n#form-templates{\npadding: 60px 15px 70px 15px;     \n}\n}\n\n\n\n@media screen and (max-width: 767px) {\n\n#form-templates .new-container #spinner div.contact-us__wrapper:nth-child(6){\ngap:20px; \n \n}\n\n\n  #form-templates .contact__info {\n    padding: 20px 20px 40px 40px;\n    margin: 0 auto;\n  }\n\n\n#form-templates{\npadding: 40px 15px 50px 15px;  \n    \n}\n\n  \n   .new-container #spinner{\n       \n    margin-bottom:30px;   \n   }\n   \n   \n   .elementor-widget-container.form-template h2,.elementor-widget-container.form-template h1{\n   font-size: 32px !important;\n    line-height: 42px !important;    \n   }\n   \n   \n   .elementor-widget-container.form-template p{\n       \n    font-size: 16px;\n    line-height: 20px;  \n    margin-bottom: 30px;\n \n       \n   }\n   \n   #form-templates .contact__info-heading{\n   font-size: 24px !important;\n    line-height: 49px !important;    \n       \n   }\n   \n\n.mailToContact{\nmargin-top: 10px !important;        \n}\n   \n\n  #form-templates .contact__info-heading {\n    font-size: 24px;\n    margin-bottom: 37px;\n  }\n\n  #form-templates .contact__info-background {\n    top: 10px;\n    left: 10px;\n  }\n\n  #form-templates .contact__info-text {\n    font-size: 12px;\n    line-height: 20px;\n  }\n  \n  \n  #form-templates .contact__info-heading {\n   margin-bottom: 35px !important;\n\n}\n\n}\n\n@media (max-width: 767px) {\n    .mailToContact {\n        max-width: 100%;\n    }\n}\n<\/style>\n\n<script>\nwindow.addEventListener('hashchange',function(e){if(window.history.pushState){window.history.pushState('','\/',window.location.pathname)}else{window.location.hash=''}})\n<\/script>\n\n\n<div id=\"form-templates\">\n<div class=\"elementor-widget-container form-template\">\n<a name=\"contact-form\"><\/a>\n<h2>Contact us<\/h2>\n<p><a id=\"calendlylink\" style=\"color: #c63031; border-bottom: 1px solid #c63031; padding: 0;\">Book a call<\/a> or fill out the form below and we\u2019ll get back to you once we\u2019ve processed your request.<\/p>\n<\/div>\n\n<div class=\"new-container\">\n\n\n<div class=\"contact-us__main\" id=\"spinner\" data-no-defer=\"1\">\n\n<div class=\"contact-us__wrapper\">\n\n<div class=\"name\">\n<label>Name<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"field_name\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required contact-us__name\" id=\"contact-name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Name*\" value=\"\" type=\"text\" name=\"field_name\" \/><\/span>\n<\/div>\n\n<div class=\"company\">\n<label>Company<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"company\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required contact-us__company\" id=\"contact-company\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Company*\" value=\"\" type=\"text\" name=\"company\" \/><\/span>\n<\/div>\n\n<\/div>\n\n<div class=\"contact-us__wrapper\">\n\n<div class=\"email\">\n<label>Email<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"email\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email contact-us__email\" id=\"contact-email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Corporate email*\" value=\"\" type=\"email\" name=\"email\" \/><\/span>\n<\/div>\n\n<div class=\"phone\">\n<label>Phone<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"tel\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel contact-us__phone\" id=\"contact-phone\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Phone*\" value=\"\" type=\"tel\" name=\"tel\" \/><\/span>\n<\/div>\n\n<\/div>\n<div class=\"contact-us__wrapper subj\">\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-recipient\"><select class=\"wpcf7-form-control wpcf7-select\" id=\"form-field-subj_js\" aria-invalid=\"false\" name=\"your-recipient\"><option value=\"\">Subject*<\/option><option value=\"IT staff augmentation\">IT staff augmentation<\/option><option value=\"Turnkey product development\">Turnkey product development<\/option><option value=\"Support and enhancement\">Support and enhancement<\/option><option value=\"Careers\">Careers<\/option><option value=\"Other\">Other<\/option><\/select><\/span>\n\n<span class=\"wpcf7-form-control-wrap\" data-name=\"form-field-budget_js\"><select class=\"wpcf7-form-control wpcf7-select\" id=\"form-field-budget_js\" aria-invalid=\"false\" name=\"form-field-budget_js\"><option value=\"\">Project budget<\/option><option value=\"Under $15K\">Under $15K<\/option><option value=\"$15K-$30K\">$15K-$30K<\/option><option value=\"$30K-$100K\">$30K-$100K<\/option><option value=\"$100K-$250K\">$100K-$250K<\/option><option value=\"$250K-$500K\">$250K-$500K<\/option><option value=\"More than $500K\">More than $500K<\/option><\/select><\/span>\n\n<\/div>\n\n\n<div class=\"message\">\n<label>Message<\/label>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"message\"><textarea cols=\"40\" rows=\"1\" maxlength=\"2000\" class=\"wpcf7-form-control wpcf7-textarea wpcf7-validates-as-required contact-us__message\" id=\"contact-message\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Describe your needs in detail*\" name=\"message\"><\/textarea><\/span>\n<\/div>\n\n<div class=\"atvoice-wrap\">\n\n<div class=\"voice-wrap\">\n<span id=\"voice-mut\" class=\"voicetext\">Send us a voice message<\/span>\n         <div class=\"qc_voice_audio_wrapper\">\n            <div class=\"qc_voice_audio_container\">\n                <div class=\"qc_voice_audio_upload_main\" id=\"qc_audio_main\">\n                    <a class=\"qc_audio_record_button\" id=\"qc_audio_record\" href=\"#\" aria-label=\"Record an audio message\">\n                        <span class=\"dashicons dashicons-microphone\"><\/span> \u00a0<\/a> \n                <\/div>\n\n                <div class=\"qc_voice_audio_recorder\" id=\"qc_audio_recorder\" style=\"display:none\">\n\n                <\/div>\n                <div class=\"qc_voice_audio_display\" id=\"qc_audio_display\"  style=\"display:none\">\n                    <audio id=\"qc-audio\" controls src=\"\"><\/audio>\n                    <span title=\"Remove and back to main upload screen.\" class=\"qc_audio_remove_button dashicons dashicons-trash\"><\/span>\n                <\/div>\n            <\/div>\n            <input type=\"hidden\" value=\"\" name=\"qcwpvoicemessage\" id=\"qc_audio_url\" \/>\n        <\/div>\n        \n<\/div>\n\n\n<div class=\"attach-wrap\">\n<span class=\"voicetext\">Attach documents<\/span>\n\n<div class='attachment'>\n\n<div class=\"downloaded\">\n<span><\/span>\n<div class=\"deleteFile\"><\/div>\n<\/div>\n\n<div class=\"attachmentButton\" onclick=\"(function cl(e){if(e.target.nodeName == 'DIV'){e.target.parentNode.children[1].children[0].click(); }})(arguments[0]);\">\n\n<div class=\"innerText\">Upload file<\/div>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"att-files\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-file\" accept=\".jpg,.png,.jpeg,.pdf\" aria-invalid=\"false\" type=\"file\" name=\"att-files\" \/><\/span>\n\n<div class=\"tip\" 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