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The AI Will See You Now: Exploring Biomedical AI and Google’s Med-PaLM2 With Karan Singhal
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com.
Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners.
Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.
Show Notes
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What if AI could revolutionize healthcare with advanced language learning models? Sarah and Elad welcome Karan Singhal, Staff Software Engineer at Google Research, who specializes in medical AI and the development of MedPaLM2. On this episode, Karan emphasizes the importance of safety in medical AI applications and how language models like MedPaLM2 have the potential to augment scientific workflows and transform the standard of care.
Other topics include the best workflows for AI integration, the potential impact of AI on drug discoveries, how AI can serve as a physician's assistant, and how privacy-preserving machine learning and federated learning can protect patient data, while pushing the boundaries of medical innovation.
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Show Links:
May 10, 2023: PaLM 2 Announcement
April 13, 2023: A Responsible Path to Generative AI in Healthcare
March 31, 2023: Scientific American article on Med-PaLM
February 28, 2023: The Economist article on Med-PaLM
KaranSinghal.com
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Show Notes:
[] - Google's Medical AI Development
[] - Medical Language Model and MedPaLM 2 Improvements
[] - Safety, cost/benefit decisions, drug discovery, health information, AI applications, and AI as a physician's assistant.
[] - Privacy Concerns - HIPAA's implications, privacy-preserving machine learning, and advances in GPT-4 and MedPOM2.
[] - Large Language Models in Healthcare and short/long term use.
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