{"id":103390,"date":"2020-03-06T16:43:58","date_gmt":"2020-03-07T00:43:58","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/03\/ai-and-machine-learning-streamlining-and-focusing-clinical-trial-recruitment"},"modified":"2020-03-06T16:43:58","modified_gmt":"2020-03-07T00:43:58","slug":"ai-and-machine-learning-streamlining-and-focusing-clinical-trial-recruitment","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/03\/ai-and-machine-learning-streamlining-and-focusing-clinical-trial-recruitment","title":{"rendered":"AI and Machine Learning: Streamlining and Focusing Clinical Trial Recruitment"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-and-machine-learning-streamlining-and-focusing-clinical-trial-recruitment.jpg\"><\/a><\/p>\n<p>Artificial intelligence (AI) and machine learning are increasingly becoming a part of drug discovery and development beginning with identifying new compounds to structuring and designing clinical trials and targeting clinical trial populations.<\/p>\n<p>A recent example<a href=\"https:\/\/www.sciencedaily.com\/releases\/2020\/02\/200213132615.htm\"> came out<\/a> of Link\u00f6ping University in Sweden. The investigators utilized an artificial neural network to create maps of biological networks based on how different genes or proteins interact with each other. They leveraged a large database with information about the expression patterns of 20,000 genes in a large group of people. The AI was then taught to find patterns of gene expression.<\/p>\n<p>And in mid-February, <a href=\"https:\/\/www.forbes.com\/sites\/danadovey\/2020\/02\/11\/first-time-ever-artificial-intelligence-develops-drug-candidate\/#5be872ad60de\">a drug developed using AI<\/a> began testing in human clinical trials. The molecule, DSP-1181, is currently in Phase I clinical trials for obsessive-compulsive disorder. The compound is a long-acting potent serotonin 5-HT1A receptor agonist developed using AI that was part of a collaboration between Japan\u2019s Sumitomo Dainippon Pharma and the UK\u2019s Escientia. The AI developed the compound in about 12 months, compared to a more typical five-year process.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) and machine learning are increasingly becoming a part of drug discovery and development beginning with identifying new compounds to structuring and designing clinical trials and targeting clinical trial populations. A recent example came out of Link\u00f6ping University in Sweden. The investigators utilized an artificial neural network to create maps of biological networks [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-103390","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/103390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=103390"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/103390\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=103390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=103390"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=103390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}