News & Events
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CPH in the News
New Program Trains Data Scientist Who Are Transforming Medicine
Featured Faculty: Ida Sim, Adam Yala, Alex Schubert (student), Daniel Wolfe
UCSF News profiles the CPH program, talking to faculty, students and staff about leading a world-class PhD program and a center with transformative real-world impact.
Source: UCSF
October 8, 2024
Enhancing MRI with AI to Improve Diagnosis Brain Disorders
Featured Faculty: Reza Abbasi-Asl, Pratik Mukherjee
Reza Abbasi-Asl, Pratik Mukherjee and colleagues discuss recent research showing AI system improvement of visualization and identification of brain abnormalities captured by MRIs in Traumatic Brain Injury.
Source: UCSF
October 7, 2024
The AI Revolution in Healthcare
Featured Faculty: Ziad Obermeyer; Sara Murray
Ziad Obermeyer, Sara Murray join Washington Post Live conversations of medical leaders to discuss how AI could transform healthcare–from breakthroughs in the generative AI era, to ways to equalize care, and generate trust.
Source: Washington Post, Live
September 30, 2024
Research Quantifying Nociception
Featured Faculty: Sandya Subramanian
Sandya Subramanian leads work to develop new statistical models to quantify “nociception”–unconscious pain–during surgery. This work aims to provide anesthesiologists with reliable, real-time information to provide personalized pain management during surgery.
Source: MIT
September 24, 2024
AI in Healthcare
Featured Faculty: Adam Yala, PhD
Adam Yala joins KQED host Alexis Madrigal and other expert panelists to discuss the promise and limits of AI use in healthcare, now and in the future.
Source: KQED Podcast
September 5, 2024
New & Notable
LEAD Fund Trainee Awardee
Featured Faculty: Hyelee Kim
CPH student Hyelee Kim receives LEAD Fund Trainee Awardee from the American Medical Informatics Association, to present work on data harmonization using LLMs for health equity.
Source: American Medical Informatics Association (AMIA)
September 2024
Kenneth Rainin Foundation Award
Featured Faculty: Vivek Rudrapatna, MD, PhD
Vivek Rudrapatna receives research award from Kenneth Rainin Foundation to use AI to improve diagnosis and treatment of ulcerative colitis.
Source: Kenneth Rainin Foundation
September 2024
Google Research Award
Featured Faculty: Irene Chen, PhD
Irene Chen and colleagues receive Google Research award for work to develop AI models to improve maternal health equity using the NIH’s All of Us dataset.
Source: Google Research
September 2024
Upcoming Events
For the most up to date information about CPH events, sign up for our monthly newsletter.
Thursday, November 7, 2024, 10-11am via Zoom
CPH 290 Seminar: Zachary Ziegler, Keko Wemmer, Dandelion Health
“AI-Based Innovation in Healthcare and Life Sciences: Challenges and Opportunities”
Recent Events
October 31, 2024
CPH 290 Seminar: Dr. Pranav Rajpurkar, Assistant Professor, Harvard University “Human-AI Interaction in Radiology”
Seminar recording forthcoming.
October 24, 2024
CPH 290 Seminar: Dr. Jonathan Kolstad, Julia Adler-Milstein, Professor, UC Berkeley
“Thinking Versus Doing: Cognitive Capacity, Decision Making and Medical Diagnosis”
Seminar recording forthcoming.
October 17, 2024
CPH 290 Seminar: Dr. Julia Adler-Milstein, Professor, UCSF
“Digital Transformation and Healthcare Innovation at UCSF”
Seminar recording forthcoming.
October 10, 2024
CPH 290 Seminar: Zachary Ziegler, CTO OpenEvidence
“OpenEvidence and the Real-World Power of AI: Moving Beyond the Buzz in Healthcare”
Seminar recording forthcoming.
October 3, 2024
CPH 290 Seminar: Dr. James Zou, Assistant Professor, Stanford University
“How are medical AI devices evaluated, updated, and deployed”
Seminar recording forthcoming.
September 26, 2024
CPH 290 Seminar: Julian Hong, MD, Assistant Professor, UCSF
“The ‘Smart Cancer Center’: Bringing Data to Cancer Care”
September 17, 2024
CPH Seminar Series: “Veridical Data Science: Toward Trustworthy AI”
While AI drives advances in biomedicine, human judgment throughout the data science life cycle–spanning problem formulation, data cleaning, exploratory data analysis, modeling, and reporting — introduces hidden uncertainties that can give rise to false diagnoses and other limitations. To meet these challenges, Bin Yu, PhD, introduced the PCS (Predictability, Computability, Stability) framework for veridical (truthful) data science in the first CPH seminar of the year!
Slide deck available here. Seminar recording forthcoming.
