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UID:20251121T082618EST-7266NcvMlO@132.216.98.100
DTSTAMP:20251121T132618Z
DESCRIPTION:James Zou\, PhD\n\nAssociate Professor of Biomedical Data Scien
 ce\n	CS and EE\, Stanford University\n\nWHEN: Wednesday\, November 26\, 202
 5\, from 3:30 to 4:30 p.m.\n	WHERE: Hybrid | 2001 91şÚÁĎÍř College Avenue\, R
 m 1140\; Zoom\n	NOTE: James Zou will be presenting virtually from Stanford 
 University\n	 \n\nAbstract\n\nAI agents—large language models equipped with
  tools and reasoning capabilities—are emerging as powerful research enable
 rs. This talk will explore how agentic AI can facilitate research and peer
  review. I’ll first introduce the Virtual Lab—a collaborative team of AI s
 cientist agents conducting in silico research meetings to tackle open-ende
 d research projects. As an example application\, the Virtual Lab designed 
 new nanobody binders to recent Covid variants that we experimentally valid
 ated. Then I will present CellVoyager\, a data science agent that analyzes
  complex genomics data to derive new insights. Finally I will introduce Pa
 per2Agent\, a framework to automatically convert passive research papers i
 nto interactive AI agents.\n\n\n	Speaker Bio\n\nJames Zou is an associate p
 rofessor of Biomedical Data Science\, CS and EE at Stanford University. He
  works on developing cutting-edge AI for biomedical applications. His grou
 p developed many widely used innovations including EchoNet AI (FDA cleared
  for assessing cardiac function)\, Gradio (used by over a million develope
 rs)\, and SyntheMol (NY Times 2024 Good Tech). He has received the Overton
  Prize\, Sloan Fellowship\, NSF CAREER Award\, two Chan-Zuckerberg Investi
 gator Awards\, a Top Ten Clinical Achievement Award\, best paper awards at
  ICML and other AI conferences\, and faculty awards from Google\, Amazon\,
  Adobe and Apple. Website: www.james-zou.com.\n
DTSTART:20251126T203000Z
DTEND:20251126T213000Z
SUMMARY:AI Agents to Automate Biomedical Discoveries 
URL:/epi-biostat-occh/channels/event/ai-agents-automat
 e-biomedical-discoveries-369113
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