Friday, October 31, 2025; 1-2 p.m. Pacific Time; In-person attendance is highly encouraged (costumes as well) at Mission Hall MH-1400 or Zoom; Light refreshments will be provided. Register at the Link below! See Halloween version of FLYER HERE

The October AI seminar will honor Atul Butte's enduring legacy by showcasing projects built on the computational ecosystem he created at UCSF, including high-impact and widely used tools such as the Information Commons, Wynton, PatientExploreR, SPOKE, and clinical NLP services such as cTAKES-as-a-Service and de-identification pipelines. Atul's work focused on open, rigorous, and collaborative data science with a relentless focus on impact for patients and trainees. We share these projects in gratitude, and with a commitment to carry Atul’s spirit of building bridges between data, discovery, and people. Halloween costumes are highly encouraged!

“From Data to Knowledge: Integrating Clinical and Molecular Data for Predictive Medicine" with Marina Sirota, PhD, Professor and the Interim Director at the Bakar Computational Health Sciences Institute at UCSF
Alzheimer’s disease (AD) remains one of the most pressing medical challenges. Recent advances in computational biology and artificial intelligence (AI) together with availability of rich molecular and clinical data, offer new opportunities to address these challenges by integrating molecular, clinical, and systems-level insights. This talk will highlight complementary approaches that illustrate the power of combining real-world clinical data, knowledge networks, and systems pharmacology to advance precision medicine for AD. This work highlights a paradigm shift toward AI-enabled, data-driven strategies that bridge molecular discovery and clinical application, ultimately informing novel therapeutic interventions and improving patient care.

“The Future of Evidence-Based Medicine is Data-Driven Medicine: Leveraging Data and AI in the Cancer Clinic"; Julian Hong, MD, MS, Associate Professor and Medical Director of Radiation Oncology Informatics in the Department of Radiation Oncology, Division of Clinical Informatics and Digital Transformation (DoC-IT), Bakar Computational Health Sciences Institute, and UCSF-UC Berkeley Joint Program in Computational Precision Health
The integration of real-world data, artificial intelligence (AI), and clinical informatics has the opportunity to transform oncology, creating new opportunities to improve patient outcomes through data-driven precision medicine. In our recent studies, we work to realize Dr. Butte's vision of “data-driven medicine" and “scalable privilege,” building on our experience in applying artificial intelligence (AI)-directed treatment strategies to mitigate treatment-related toxicities in a randomized controlled trial. We leverage Dr. Butte’s transformative contributions to UCSF infrastructure to advance our efforts in generalizing actionable predictive clinical models, generating real world evidence, and integrating large language models (LLMs). These efforts build a realistic pathway towards realizing broadly accessible, data-driven clinical care.

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