Відео

James Zou, PhD, Associate Professor of Biomedical Data Science at Stanford University, lectured on October 3, 2024 on "How Are Medical AI Devices Evaluated, Updated and Deployed." This lecture was delivered as part of a fall 2024 CPH class and webinar series featuring leaders in the field speaking on developing, deploying and regulating medical AI products. Ahmed Alaa, PhD, was the course direc...

Julian Hong, MD, MS, Associate Professor of Radiation Oncology from UCSF, lectures on "The ‘Smart Cancer Center’: Bringing Data to Cancer Care." Dr. Hong discussed the challenges and necessary steps toward adopting computational tools in clinical settings, sharing insights from his research on precision cancer care. This lecture was delivered as part of a fall 2024 CPH class and webinar series ...

Learn about the UCSF UC Berkeley Joint Computational Precision Health PhD program and hear from the faculty to learn about the research being done in this exciting field.

The Center for Targeted Machine Learning (CTML) and Computational Precision Health are pleased to present a seminar by Dr. Emre Kiciman, Senior Principal Researcher, Microsoft Research Causal inference and LLMs: A new frontier Abstract: The causal capabilities of large language models (LLMs) is a matter of significant debate, with critical implications for the use of LLMs in societally impactfu...

Dr. John Concato, Associate Director for Real-World Evidence Analytics in the Office of Medical Policy (OMP), Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA), discusses “FDA Guidance on Real-World Evidence" including the main components of FDA’s Real-World Evidence Program, focusing on guidance development. Dr. Concato also summarizes the historical context le...

How do intellectual property law and practice impact algorithmic research or products incorporating algorithmic innovation? Please join Allison Schmitt, Director of the UC Berkeley Center on Law and Technology's Life Sciences Law and Policy Center, to learn more about the IP issues faced by researchers and innovators, including patenting algorithms and outputs, and the potential and limits of i...

Gilmer Valdes, Associate Professor Department of Radiation Oncology, Department of Epidemiology and Biostatistics, UCSF; Computational Precision Health, UCSF/UC Berkeley Abstract: Many regression and classification procedures fit a function of predictor variables to data based on some loss criterion . Often, regularization is applied to improve accuracy by placing a constraint on the values of ...

Presentation by CPH faculty directors Maya Petersen, and Ida Sim on the Computational Precision Health PhD program. Applications being accepted for the 2024 cycle until December 11, 2023. More details available on the CPH website: computationalhealth.ucsf.edu/phd-program Find out more about how Computational Precision Health is a truly unique PhD training program at the intersection of machine ...