Jonathan H Chen MD PhD
@jonc101.bsky.social
310 followers 56 following 150 posts
Physician Data Scientist - Stanford Center for Biomedical Informatics Research + Division of Hospital Medicine + Clinical Excellence Research Center + Biomedical Data Science
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jonc101.bsky.social
determine when to trust AI autonomously, when human oversight is essential, and when to avoid AI entirely."
jonc101.bsky.social
medical education landscape. Participants will learn to navigate the "Alignment Paradox"—ensuring AI tools serve educational goals rather than undermine them—through an evidence-based decision framework. This practical approach, grounded in principles of AI performance patterns, helps educators
jonc101.bsky.social
Abstract: "Artificial intelligence promises to revolutionize medical education, yet most institutions struggle to move beyond pilot projects to meaningful implementation. This talk bridges the gap between AI's potential and current reality by showcasing real-world applications from across the
jonc101.bsky.social
keynotes, grand rounds, and workshops at leading institutions around the world. Her vision is to democratize access to individualized, mastery-based medical training by harnessing AI to scale feedback, foster equity, and capture the richness of clinical reasoning.
jonc101.bsky.social
holds several patents pending on AI-driven educational platforms, and has been invited to contribute to advisory committees for the AAMC, AMA, ABMS, and the International Advisory Committee on AI in Health Professions Education. Widely recognized as a thought leader, Dr. Turner has delivered invited
jonc101.bsky.social
initiatives to integrate AI responsibly into medical education. Her work focuses on leveraging multi-agent architectures, learning analytics, and adaptive assessment systems to advance precision medical education and reduce disparities in training. She has secured multiple competitive grants,
jonc101.bsky.social
an educational technology company developing AI-powered platforms for personalized learning in healthcare. An interdisciplinary scholar with expertise in artificial intelligence, natural language processing, fuzzy logic, and educational informatics, Dr. Turner leads national and international
jonc101.bsky.social
Bio: Dr. Laurah Turner, PhD is the Associate Dean for Artificial Intelligence and Educational Informatics and Associate Professor of Biostatistics, Health Informatics and Data Sciences and Medical Education at the University of Cincinnati College of Medicine. She is also co-founder of 2-Sigma,
jonc101.bsky.social
@stanforddeptmed.bsky.social Biomedical Informatics Research Colloquia
“Applied Intelligence: Integrating AI Technologies Into Medical Education”
Laurah Turner, PhD.

Thursday, October 9th, 2025
12:00 to 1:00 pm PST

stanford.zoom.us/j/9788759601...

Webinar ID: 978 8759 6012
Passcode: 420642
Laurah Turner, PhD
jonc101.bsky.social
Years ago, I led a National Academy of Medicine report chapter, where I called for the emphasis on what Computers and Humans are each especially good at. But..., what belongs in each column may need some rethinking. nam.edu/wp-content/u...
jonc101.bsky.social
having a combination of ALL of these attributes in a single person (or entity) remains essential and potent.
jonc101.bsky.social
Struggling in past year to articulate what good a human clinician/professional is good for anymore, because many things that were true a few years ago are actively being challenged. A dynamic space, but
jonc101.bsky.social
keep producing. Moreso, no matter what AI produces, it is human nature to run on a hedonic treadmill. This means we'll always have an infinite appetite for more. www.npr.org/transcripts/...
www.npr.org
jonc101.bsky.social
technology would make us so efficient, there'd be no reason to work so hard anymore. We would instead all just turn into creatures of leisure, lounging around all day. Turned out to be completely wrong because, given increased efficiencies, there is even more pressure and opportunity cost to not
jonc101.bsky.social
I was disappointed that Gates would make such a general comment. Job displacement and disruption are very credible, but naive to think that will leave most humans with nothing to do. This isn't a new story. John Maynard Keynes in 1930 predicted we'd all be down to 15-hour work weeks because
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In our studies (mentioned in this article with great collaborators @adamrodmanmd.bsky.social and Arjun Manrai), we surprisingly found that AI alone is outperforming Human+AI on many complex reasoning tasks.
www.newyorker.com/magazine/202...
If A.I. Can Diagnose Patients, What Are Doctors For?
Large language models are transforming medicine—but the technology comes with side effects.
www.newyorker.com
jonc101.bsky.social
In a recent interview, Bill Gates said that within 10 years, AI will replace many doctors and teachers—humans won’t be needed ‘for most things’.

Is it just time to retire? What makes someone a worthy clinician or any kind of human professional?
jonc101.bsky.social
a data science agent that analyzes complex genomics data to derive new insights. Finally I will introduce Paper2Agent, a framework to automatically convert passive research papers into interactive AI agents."
jonc101.bsky.social
AI scientist agents conducting in silico research meetings to tackle open-ended research projects. As an example application, the Virtual Lab designed new nanobody binders to recent Covid variants that we experimentally validated. Then I will present CellVoyager,
jonc101.bsky.social
Abstract: "AI agents—large language models equipped with tools and reasoning capabilities—are emerging as powerful research enablers. This talk will explore how agentic AI can facilitate research and peer review. I’ll first introduce the Virtual Lab—a collaborative team of
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and faculty awards from Google, Amazon, Adobe and Apple.
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Gradio (used by over a million developers), and SyntheMol (NY Times 2024 Good Tech). He has received the Overton Prize, Sloan Fellowship, NSF CAREER Award, two Chan-Zuckerberg Investigator Awards, a Top Ten Clinical Achievement Award, best paper awards at ICML and other AI conferences,
jonc101.bsky.social
Bio: James Zou is an associate professor of Biomedical Data Science, CS and EE at Stanford University. He works on developing cutting-edge AI for biomedical applications. His group developed many widely used innovations including EchoNet AI (FDA cleared for assessing cardiac function),
jonc101.bsky.social
@stanforddeptmed.bsky.social Biomedical Informatics Research Colloquia

“AI Agents to Automate Biomedical Discoveries”
@jameszou.bsky.social James Zou, Ph.D

Thursday, September 25th, 2025
12:00 to 1:00 pm PST

stanford.zoom.us/j/9788759601...

Webinar ID: 978 8759 6012
Webinar Passcode: 420642
James Zou, Ph.D