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Robots build It. Humans decide. Inside Astellas' human-in-the-loop drug discovery.","ai-designs-it-robots-build-it-humans-decide-inside-astellas-human-in-the-loop-drug-discovery",null,{"time":51,"blocks":52,"version":113},1786426592707,[53,61,82,88,94,107],{"id":54,"type":55,"data":56,"tunes":58},"Q8xqJIzqZv","paragraph",{"text":57},"Drug discovery has always been a numbers game with brutal odds. In Japan, only about 1 in 23,000 small molecules becomes a medicine, and a single program can run 9 to 16 years. Astellas set out to change those odds. Since 2019, the company has been building a \"Human-in-the-Loop\" platform that connects human expertise, AI prediction, and lab robotics into one continuous workflow, so that scientists spend less time on repetitive bench work and more time on the decisions that actually move a project forward. It is the same principle Chemspeed builds its automation around: close the loop between make and analyze, and let researchers focus on the science.",{"alignment":59},{"alignment":60},"left",{"id":62,"type":63,"data":64},"-WjngTgOCz","nestedlist",{"style":65,"items":66},"unordered",[67,70,73,76,79],{"content":68,"items":69},"Astellas runs a closed loop where AI designs and predicts compound properties, robotics handle synthesis, and researchers evaluate results, often remotely, then feed the data back to sharpen the next round.",[],{"content":71,"items":72},"The approach cut the time to turn an early hit compound into a viable drug candidate by roughly 70 percent versus traditional methods.",[],{"content":74,"items":75},"The platform surfaced promising compounds that manual selection might have overlooked, presenting activity and property data in one clear, decision-ready view.",[],{"content":77,"items":78},"Adoption was earned, not forced. A small pilot group refined the system first, and breaking down silos between departments turned early skeptics into daily users.",[],{"content":80,"items":81},"An AI-designed, AI-predicted, robot-synthesized compound has now advanced into clinical trials.",[],{"id":83,"type":55,"data":84,"tunes":86},"me6EFN7HPH",{"text":85},"When human judgment, AI, and robotics run in the same loop instead of separate lanes, discovery stops waiting on the bottleneck and starts moving at the speed of the science. Closing that loop from synthesis to analysis is exactly what Chemspeed automation is built to do.",{"alignment":87},{"alignment":60},{"id":89,"type":55,"data":90,"tunes":92},"pXWOZGJm8R",{"text":91},"Source: Astellas Newsroom ",{"alignment":93},{"alignment":60},{"id":95,"type":63,"data":96},"lfgWMeXVcI",{"style":65,"items":97},[98,101,104],{"content":99,"items":100},"Video: Astellas' AI Drug Discovery Process. \u003Ca href=\"https://www.youtube.com/watch?v=aLJG_LQ1lSQ\">https://www.youtube.com/watch?v=aLJG_LQ1lSQ \u003C/a>",[],{"content":102,"items":103},"Article: The Future of Drug Discovery: Integrating Human, AI and Robotics (Apr 22, 2025).  \u003Ca href=\"https://newsroom.astellas.com/2025-04-22-The-Future-of-Drug-Discovery-Integrating-Human,-AI-and-Robotics\">https://newsroom.astellas.com/2025-04-22-The-Future-of-Drug-Discovery-Integrating-Human,-AI-and-Robotics \u003C/a>",[],{"content":105,"items":106},"Article: Creating Innovative Medicines Through Collaboration Between AI and Humans (Mar 24, 2021). \u003Ca href=\"https://newsroom.astellas.com/2021-03-24-Creating-innovative-medicines-through-collaboration-between-AI-and-humans\">https://newsroom.astellas.com/2021-03-24-Creating-innovative-medicines-through-collaboration-between-AI-and-humans\u003C/a>",[],{"id":108,"type":55,"data":109,"tunes":111},"H-ZbA0_FM_",{"text":110},"This post references publicly available material published by Astellas Pharma Inc. All company names, trademarks, logos, videos, and article content remain the property of their respective owners and are referenced here for informational purposes only, with no claim of ownership or endorsement implied. No original text has been reproduced. 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scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.\u003C/p>\n\u003Cp>Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram 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While computer vision models hold significant promise to replace the reliance on human evaluation for inference, their adoption is limited by the lack of domain-specific datasets tailored, in our case, to polymer–solvent systems.\u003C/p>","2026-06-30",[569],{"id":570,"news_id":562,"industry_id":571},1315,10,[573,575,577,579,581],{"id":574,"news_id":562,"workflow_id":4},1275,{"id":576,"news_id":562,"workflow_id":134},1276,{"id":578,"news_id":562,"workflow_id":141},1277,{"id":580,"news_id":562,"workflow_id":177},1278,{"id":582,"news_id":562,"workflow_id":184},1279,{"left":584,"top":584,"width":585,"height":585,"rotate":584,"vFlip":563,"hFlip":563,"body":586},0,24,"\u003Cpath fill=\"currentColor\" d=\"M3 18v-2h18v2zm0-5v-2h18v2zm0-5V6h18v2z\"/>",{"left":584,"top":584,"width":585,"height":585,"rotate":584,"vFlip":563,"hFlip":563,"body":588},"\u003Cpath fill=\"currentColor\" d=\"m12 15.4l-6-6L7.4 8l4.6 4.6L16.6 8L18 9.4z\"/>",{"left":584,"top":584,"width":585,"height":585,"rotate":584,"vFlip":563,"hFlip":563,"body":590},"\u003Cpath fill=\"currentColor\" d=\"M12 12q-1.65 0-2.825-1.175T8 8t1.175-2.825T12 4t2.825 1.175T16 8t-1.175 2.825T12 12m-8 8v-2.8q0-.85.438-1.562T5.6 14.55q1.55-.775 3.15-1.162T12 13t3.25.388t3.15 1.162q.725.375 1.163 1.088T20 17.2V20z\"/>",{"left":584,"top":584,"width":585,"height":585,"rotate":584,"vFlip":563,"hFlip":563,"body":592},"\u003Cpath fill=\"currentColor\" d=\"m19.6 21l-6.3-6.3q-.75.6-1.725.95T9.5 16q-2.725 0-4.612-1.888T3 9.5t1.888-4.612T9.5 3t4.613 1.888T16 9.5q0 1.1-.35 2.075T14.7 13.3l6.3 6.3zM9.5 14q1.875 0 3.188-1.312T14 9.5t-1.312-3.187T9.5 5T6.313 6.313T5 9.5t1.313 3.188T9.5 14\"/>",1787310863905]