{"id":9043,"date":"2021-11-19T13:52:30","date_gmt":"2021-11-19T13:52:30","guid":{"rendered":"http:\/\/TheNextWeb=1373635"},"modified":"2021-11-19T13:52:30","modified_gmt":"2021-11-19T13:52:30","slug":"party-pooping-ai-nerds-wanna-ruin-your-future-drug-binges","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=9043","title":{"rendered":"Party-pooping AI nerds wanna ruin your future drug binges"},"content":{"rendered":"\n<p>The next generation of legal highs could be discovered by AI.<\/p>\n<p>Scientists in Canada have developed a model that identifies future designer drugs before they even hit the market. But don\u2019t get too excited: the researchers aren\u2019t planning to provide your next buzz. Instead, they want the cops to find it first.<\/p>\n<h2>High times<\/h2>\n<p><span>It wasn\u2019t easy introducing AI to the drug game. First, the neural needed a crash course in pharmacology.<\/span><\/p>\n<p>Instead of a traditional education in a meth lab, the neural network was trained on a database of known psychoactive substances.<\/p>\n<p>After diligently studying the structures of these drugs, the model progressed onto creating its own concoctions.<\/p>\n<p>The rookie chemist proved to be a fast learner. In total, it generated structures for a whopping 8.9 million potential designer drugs.<\/p>\n<p>While others would now retire to a life of experimental inebriation, the diligent researchers had further work to do.<\/p>\n<p>Their ultimate objective was identifying new drugs before they end up in the hands of users. Law enforcement agencies could then outlaw the substances before they\u2019re even synthesized.<\/p>\n<p>\u201cThe vast majority of these designer drugs have never been tested in humans and are completely unregulated,\u201d said study co-author Dr Michael Skinnider, a medical student at the University of British Columbia. \u201cThey are a major public health concern to emergency departments across the world.\u201d<\/p>\n<h2>Uppers and downers<\/h2>\n<p>The team still needed to test their approach\u2019s predictive powers. To do this, they compared the system\u2019s substances to 196 drugs that had emerged on the illicit market <em>since<\/em> the model had been trained.<\/p>\n<p>They discovered more than 90% of the new drugs inside the generated set. Cue the inevitable <em>Minority Report<\/em> comparisons.<\/p>\n<p>\u201cThe fact that we can predict what designer drugs are likely to emerge on the market before they actually appear is a bit like the 2002 sci-fi movie, <em>Minority Report<\/em>, where foreknowledge about criminal activities about to take place helped significantly reduce crime in a future world,\u201d said senior author Dr David Wishart, a professor of computing science at the University of Alberta.<\/p>\n<p>Don\u2019t tell Dr Wishart, but<em> Minority Report<\/em> ended (***SPOILER ALERT***) with the \u201cPrecrime\u201d unit getting totally dismantled. Still, the researchers had one more trick to try before they risked the same fate.<\/p>\n<figure class=\"post-image post-mediaBleed aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-1373727 js-lazy\" src=\"https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53.png\" alt=\"Designer drugs can flood the market before lawmakers can ban them.\" width=\"1396\" height=\"932\" sizes=\"(max-width: 1396px) 100vw, 1396px\" data-srcset=\"https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53.png 1396w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-280x187.png 280w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-202x135.png 202w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-404x270.png 404w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-796x531.png 796w\"><figcaption><a href=\"https:\/\/thenextweb.com\/news\/ai-discovers-future-designer-drugs-before-they-hit-market#\" data-url=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Feditorial.thenextweb.com%2Fneural%2F2021%2F11%2F19%2Fai-discovers-future-designer-drugs-before-they-hit-market%2F&amp;via=thenextweb&amp;related=thenextweb&amp;text=Check out this picture on: Synthetic drugs can flood the market before lawmakers can ban them. Credit: Raimond Klavins on Unsplash\" data-title=\"Share Synthetic drugs can flood the market before lawmakers can ban them. Credit: Raimond Klavins on Unsplash on Twitter\" data-width=\"685\" data-height=\"500\" class=\"post-image-share popitup\" title=\"Share Synthetic drugs can flood the market before lawmakers can ban them. Credit: Raimond Klavins on Unsplash on Twitter\"><i class=\"icon icon--inline icon--twitter--dark\"><\/i><\/a>Synthetic drugs can flood the market before lawmakers can ban them. Credit: Raimond Klavins on Unsplash<\/figcaption><noscript><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-1373727\" src=\"https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53.png\" alt=\"Designer drugs can flood the market before lawmakers can ban them.\" width=\"1396\" height=\"932\" srcset=\"https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53.png 1396w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-280x187.png 280w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-202x135.png 202w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-404x270.png 404w, https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/11\/Screenshot-2021-11-19-at-13.29.53-796x531.png 796w\"><\/noscript><\/figure>\n<p>The model had learned not only which drugs would emerge on the market, but also which <em>molecules<\/em> would appear. Using only a drug\u2019s mass, the model was able to determine its chemical structure with up to <span>86% accuracy.<\/span><\/p>\n<p>The team says this capability could massively accelerate the pace at which new designer drugs are identified.<\/p>\n<h2>The comedown<\/h2>\n<p>We should have seen this coming. When AI showed <a href=\"https:\/\/thenextweb.com\/news\/ai-discovered-an-old-arthritis-drug-that-can-help-elderly-people-survive-covid-19\">potential to discover new medicines<\/a>, it became inevitable that it would soon become a narc.<\/p>\n<p>The researchers say their approach could protect people from dangerous legal highs. Unfortunately, it could also ruin some great trips and awesome parties.<\/p>\n<p>It doesn\u2019t quite look ready for the streets, however. While the system\u2019s dataset included 90% of the real designer drugs, they were extracted from a sample of 8.9 million outputs. It could be hard work finding the psychoactive substances of the future within that collection.<\/p>\n<p>Still, I\u2019m sure some people would be up for trying them out. Drug developers may also be keen to get their hands on the model.<\/p>\n<p><span>You can read the study paper <a href=\"https:\/\/www.nature.com\/articles\/s42256-021-00407-x\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">in Nature Machine Intelligence<\/a>.<\/span><\/p>\n<p><em>HT: <a href=\"https:\/\/www.vancouverisawesome.com\/local-news\/vancouver-researchers-create-minority-report-tech-for-designer-drugs-4764676\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Vancouver Is Awesome<\/a><\/em><\/p>\n<p> <a href=\"https:\/\/thenextweb.com\/news\/ai-discovers-future-designer-drugs-before-they-hit-market\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The next generation of legal highs could be discovered by AI. Scientists in Canada have developed a model that identifies future designer drugs before they even hit the market. But don\u2019t get&#8230;<\/p>\n","protected":false},"author":1,"featured_media":9044,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts\/9043"}],"collection":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9043"}],"version-history":[{"count":0,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts\/9043\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/media\/9044"}],"wp:attachment":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9043"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9043"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}