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 changes doctors and patients will find the solutions they need.
On today’s episode we chat with two of the leaders at Sorcero: 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.
Episode notes:
Sorcero 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.
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.
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.
Connect with Dipanwita Das and Hellmut Adolphs on LinkedIn. Congrats to Lifeboat badge winner John Carrell for saving Self join vs. inner join with an excellent answer.
Tags: ai, medical tech, the stack overflow podcast
Source: https://stackoverflow.blog/2023/08/22/medical-research-made-understandable-with-ai/
