Medical research made understandable with AI

<p><a href="https://www.sorcero.com/">Sorcero</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. </p><p>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. </p><p>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. </p><p>Connect with <a href="https://www.linkedin.com/in/dipanwitadas/">Dipanwita Das</a> and <a href="https://www.linkedin.com/in/hellmut/?original_referer=https%3A%2F%2Fwww.google.com%2F">Hellmut Adolphs</a> on LinkedIn. </p><p>Congrats to Lifeboat badge winner <a href="https://stackoverflow.com/users/4628504/john-carrell">John Carrell</a> for saving the question <a href="https://stackoverflow.com/questions/31925971/self-join-vs-inner-join/32656064#32656064">Self join vs. inner join</a> with an excellent answer. </p>