Medical research made understandable with AI

Medical research made understandable with AI

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 the question Self join vs. inner join with an excellent answer.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Episoder(983)

AI, JD, and other letters of the law

AI, JD, and other letters of the law

Ryan chats with Kevin Frazier, director of the AI Innovation and Law program at the University of Texas School of Law, about the legal and social impacts of data centers, the realities of workforce di...

15 Sep 38min

AI cybersecurity is a cat and mouse game

AI cybersecurity is a cat and mouse game

Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vu...

11 Sep 27min

Java’s age is its AI superpower

Java’s age is its AI superpower

SPONSORED BY IBMRyan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. They talk about why the long history of Java both makes for a stable language and...

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Scaling your money safely with AI

Scaling your money safely with AI

Episode notes: This episode with Paypal’s CTO Srini Venkatesan was recorded at the Ai4 conference. Listen to our other Ai4 conversation with Greg Jennings, VP of Engineering for AI Products at Anacond...

8 Sep 28min

How to build a secure-by-default AI coding agent

How to build a secure-by-default AI coding agent

Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guar...

4 Sep 32min

The good ol’ days of building Java

The good ol’ days of building Java

Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its incep...

1 Sep 30min

When you keep AI Lean, you keep AI correct

When you keep AI Lean, you keep AI correct

Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning com...

28 Aug 25min

Inside LinkedIn's cognitive memory agent for agentic personalization

Inside LinkedIn's cognitive memory agent for agentic personalization

Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state...

25 Aug 32min

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