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Sorcero uses AI and large language models to make medical texts more discoverable and readable, helping knowledge to more easily spread, increasing the chances doctors and patients will find the solutions they need.",[85],{"_key":78,"_type":86,"href":87,"reference":12},"link","https://www.sorcero.com/","normal",{"_key":90,"_type":68,"children":91,"markDefs":97,"style":88},"3206a876e25b",[92],{"_key":93,"_type":72,"marks":94,"text":96},"3206a876e25b0",[95],"strong","Episode notes:",[],{"_key":99,"_type":68,"children":100,"markDefs":109,"style":88},"fe8524bb170f",[101,105],{"_key":102,"_type":72,"marks":103,"text":79},"fe8524bb170f0",[104],"dfa8d29d1954",{"_key":106,"_type":72,"marks":107,"text":108},"fe8524bb170f1",[]," uses a mix of natural language processing, generative AI, and even more old school symbolic AI, where they craft their own ontologies, to try and ingest that river of new medical data and make it easier to search and comprehend.",[110],{"_key":104,"_type":86,"href":87,"reference":12},{"_key":112,"_type":68,"children":113,"markDefs":118,"style":88},"9dc685d82088",[114],{"_key":115,"_type":72,"marks":116,"text":117},"9dc685d820880",[],"Less than 0.2% of the global population can read a medical paper! AI can help make these dense works up to 700x more readable.",[],{"_key":120,"_type":68,"children":121,"markDefs":126,"style":88},"ea2ee859bdda",[122],{"_key":123,"_type":72,"marks":124,"text":125},"ea2ee859bdda0",[],"Medical Affairs Teams are the groups inside big pharmaceutical companies that helps surface the right information to health providers. It’s hard for them to keep up with the thousands of new articles and research papers being published each month, much less unpack that information.",[],{"_key":128,"_type":68,"children":129,"markDefs":170,"style":88},"b23e3d1a9ad7",[130,134,139,143,148,152,157,161,166],{"_key":131,"_type":72,"marks":132,"text":133},"b23e3d1a9ad70",[],"Connect with ",{"_key":135,"_type":72,"marks":136,"text":138},"b23e3d1a9ad71",[137],"970935c712ab","Dipanwita Das",{"_key":140,"_type":72,"marks":141,"text":142},"b23e3d1a9ad72",[]," and ",{"_key":144,"_type":72,"marks":145,"text":147},"b23e3d1a9ad73",[146],"7e46af84b4b2","Hellmut Adolphs",{"_key":149,"_type":72,"marks":150,"text":151},"b23e3d1a9ad74",[]," on LinkedIn. Congrats to Lifeboat badge winner ",{"_key":153,"_type":72,"marks":154,"text":156},"b23e3d1a9ad75",[155],"5d0eafc2cb97","John Carrell",{"_key":158,"_type":72,"marks":159,"text":160},"b23e3d1a9ad76",[]," for saving ",{"_key":162,"_type":72,"marks":163,"text":165},"b23e3d1a9ad77",[164],"6e9496dfeedc","Self join vs. inner join",{"_key":167,"_type":72,"marks":168,"text":169},"b23e3d1a9ad78",[]," with an excellent answer.",[171,173,175,177],{"_key":137,"_type":86,"href":172,"reference":12},"https://www.linkedin.com/in/dipanwitadas/",{"_key":146,"_type":86,"href":174,"reference":12},"https://www.linkedin.com/in/hellmut/?original_referer=https%3A%2F%2Fwww.google.com%2F",{"_key":155,"_type":86,"href":176,"reference":12},"https://stackoverflow.com/users/4628504/john-carrell",{"_key":164,"_type":86,"href":178,"reference":12},"https://stackoverflow.com/questions/31925971/self-join-vs-inner-join/32656064#32656064",{"_key":180,"_type":68,"children":181,"markDefs":187,"style":88},"aab6b36c987e",[182],{"_key":183,"_type":72,"marks":184,"text":186},"aab6b36c987e0",[185],"dab389b2af00","TRANSCRIPT",[188],{"_key":185,"_type":86,"href":189,"reference":12},"https://the-stack-overflow-podcast.simplecast.com/episodes/medical-research-made-understandable-with-ai/transcript",true,"2023/08/22","On today’s episode we chat with CEO Dipanwita Das and CTO Hellmut Adolphs of Sorcero, which uses AI and large language models to make medical texts more discoverable and readable, helping knowledge to more easily spread, increasing the chances doctors and patients will find the solutions they need.",{"_type":53,"asset":194},{"_ref":195,"_type":56},"image-472725c034235a56301dc8caf0ed41b3d298c57a-1200x630-png",{"code":197,"language":198},"\u003C!-- wp:html -->\n\u003Ciframe height=\"200px\" width=\"100%\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://player.simplecast.com/42bf62ba-f165-431f-ad2b-b815e7c1c7bc?dark=false\">\u003C/iframe>\n\u003C!-- /wp:html -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>On today’s episode we chat with two of the leaders at \u003Ca href=\"https://www.sorcero.com/\">Sorcero\u003C/a>: CEO Dipanwita Das and CTO Hellmut. Sorcero uses AI and large language models to make medical texts more discoverable and readable, helping knowledge to more easily spread, increasing the chances doctors and patients will find the solutions they need. \u003C/p>\n\u003C!-- /wp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Cstrong>Episode notes:\u003C/strong>\u003C/p>\n\u003C!-- /wp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Ca href=\"https://www.sorcero.com/\">Sorcero\u003C/a> uses a mix of natural language processing, generative AI, and even more old school symbolic AI, where they craft their own ontologies, to try and ingest that river of new medical data and make it easier to search and comprehend. \u003C/p>\n\u003C!-- /wp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Less than 0.2% of the global population can read a medical paper! AI can help make these dense works up to 700x more readable. \u003C/p>\n\u003C!-- /wp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Medical Affairs Teams are the groups inside big pharmaceutical companies that helps surface the right information to health providers. It’s hard for them to keep up with the thousands of new articles and research papers being published each month, much less unpack that information. \u003C/p>\n\u003C!-- /wp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Connect with \u003Ca href=\"https://www.linkedin.com/in/dipanwitadas/\">Dipanwita Das\u003C/a> and \u003Ca href=\"https://www.linkedin.com/in/hellmut/?original_referer=https%3A%2F%2Fwww.google.com%2F\">Hellmut Adolphs\u003C/a> on LinkedIn. Congrats to Lifeboat badge winner \u003Ca href=\"https://stackoverflow.com/users/4628504/john-carrell\">John Carrell\u003C/a> for saving \u003Ca href=\"https://stackoverflow.com/questions/31925971/self-join-vs-inner-join/32656064#32656064\">Self join vs. inner join\u003C/a> with an excellent answer.\u003C/p>\n\u003C!-- /wp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Ca href=\"https://the-stack-overflow-podcast.simplecast.com/episodes/medical-research-made-understandable-with-ai/transcript\">TRANSCRIPT\u003C/a>\u003C/p>\n\u003C!-- /wp:paragraph -->","html","2023-08-22T04:40:00.000Z",{"current":201},"medical-research-made-understandable-with-ai",[203,212,219,224],{"_createdAt":204,"_id":205,"_rev":206,"_type":207,"_updatedAt":208,"slug":209,"title":211},"2023-05-23T16:43:21Z","wp-tagcat-ai","fpDTFQqIDjNJIbHDKPBGpV","blogTag","2025-01-30T16:19:01Z",{"current":210},"ai","AI",{"_createdAt":213,"_id":214,"_rev":215,"_type":207,"_updatedAt":213,"slug":216,"title":218},"2023-08-29T08:42:00Z","wp-tagcat-medical-tech","9HpbCsT2tq0xwozQfkc4ih",{"current":217},"medical-tech","medical tech",{"_createdAt":204,"_id":220,"_rev":215,"_type":207,"_updatedAt":204,"slug":221,"title":223},"wp-tagcat-podcast",{"current":222},"podcast","The Stack Overflow Podcast",{"_createdAt":204,"_id":225,"_rev":215,"_type":207,"_updatedAt":204,"slug":226,"title":228},"wp-tagcat-the-stack-overflow-podcast",{"current":227},"the-stack-overflow-podcast","the stack overflow podcast","Medical research made understandable with AI (ep. 601)",[231,237,243,249],{"_id":232,"publishedAt":233,"slug":234,"sponsored":12,"title":236},"28e560af-f0aa-4d46-bd90-f435ad604aa7","2026-06-26T14:00:27.102Z",{"_type":10,"current":235},"paging-charity-how-can-engineering-leaders-avoid-becoming-bond-villains","Paging Charity! How can engineering leaders avoid becoming Bond villains?",{"_id":238,"publishedAt":239,"slug":240,"sponsored":12,"title":242},"4b22c2a3-3779-4966-93eb-5230391dbdce","2026-06-23T14:08:58.595Z",{"_type":10,"current":241},"your-ai-shipped-a-backend-that-boots-that-is-the-whole-problem","Your AI shipped a backend that boots. That is the whole problem.",{"_id":244,"publishedAt":245,"slug":246,"sponsored":12,"title":248},"5cf362e1-fe7b-45af-b69c-914731c6a052","2026-06-23T14:00:00.000Z",{"_type":10,"current":247},"the-2026-developer-survey-is-now-open-for-human-developers-only","The 2026 Developer Survey is now open (for human developers only)!",{"_id":250,"publishedAt":251,"slug":252,"sponsored":12,"title":254},"30b995f7-7cb9-4dd8-bf71-d0685940a32b","2026-06-19T14:00:00.000Z",{"_type":10,"current":253},"dispatches-from-o-reilly-from-capabilities-to-responsibilities","Dispatches from O'Reilly: From capabilities to responsibilities",{"data":256,"sourceMap":-1},{"count":257,"lastTimestamp":258},2,"2023-08-29T09:04:00Z"]