Computational Precision Health
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ucjointcph.bsky.social
Computational Precision Health
@ucjointcph.bsky.social
150 followers 120 following 62 posts
CPH is pioneering a new discipline joining the power of AI, clinical/public health excellence, and equity. A joint program bridging UC Berkeley and UCSF.
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At #JupyterCon2025 ? Tomorrow 9-12:30 workshop/tutorial on new open platform for streaming data from wearables for health. And Tue. 4:55pm - 5:20pm session on bridging wearables, clinical data & computational workflow with @IdaSim.bsky.social and @FernandoPerez.org
Congrats to A Jay Holmgren, recipient of the prestigious 2025 AMIA New Investigator award for groundbreaking work on how digital health and IT shape care. @amia.org
@ucsfdocit.bsky.social
AMIA New Investigator Award
The AMIA New Investigator Award recognizes an i
amia.org
Nov. 7, 12-1PM. Finale Doshi-Velez presents “Interpretability and Human+AI Interaction for AI Decision Support in Health.”Mission Hall MH-1400 or via Zoom. Register here: ucsf.zoom.us/webinar/regi...
At the Oxford Global Precision Medicine conference in SF? Dont' miss keynote tomorrow AM by CPH's @IdaSim.bsky.social on AI, data integration, and how a new approach to digital infrastructure could scale personalised healthcare across clinical and research settings @OGPREMED #digitalhealth
This Wed, @djaganath.bsky.social MD delivers the CPH seminar on TB biomarkers, and moving from discovery to practice. Join us! Oct 22 1-2 PT Via Zoom. @ucsfchildrens.bsky.social Register here: buff.ly/7OsMIyY
Reza Abbasi-Asl and colleagues from UCSF & @alleninstitute.org in @nature.com on their CellTransformer, an AI model creating a fine-grained map of the brain at unprecedented detail and scale. #neurology buff.ly/s7fEGQP
Congrats to CPH's Adam Yala, collaborator Maggie Chung, MD and team, honored with UCSF Carroll Innovation award for bold, disruptive research on vision/language models for improved diagnosis. Pioneering work and a great honor! UCSF Radiology
Join us Oct 22 1-2 PT for the CPH seminar: DevanJanagath, MD, MPH on Biomarkers for Tuberculosis Diagnosis--including wearables, computation and translating from discovery to practice. Via Zoom. Register here: buff.ly/7OsMIyY
Good news! CPH's @amalaa.bsky.social and colleagues @roxanadaneshjou.bsky.social and Tom Harvitgsen have received a grant from the NIH Director's office for work on participatory mutimodal AI and editable foundation models to improve diagnosis and tx. @stanforddeptmed.bsky.social
Well-labeled, diverse, open repos of medical data are rare. CPH+U Chicago's CAII are changing that--CPH this fall becomes a co-host of Nightingale, a global repo of ground-truthed de-ided medical images. buff.ly/FHiwBQU h/t Nightingale co-founder Ziad Obermeyer @berkeleypublichlth.bsky.social
Partnering to Advance the Future of AI in Health
CAAI and UCSF UC Berkeley’s Computational Precision Health program to jointly host diverse, high-quality health data repository.
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How to assess AI fit and function in health, and how does context change the calculus? Hear from Jean Feng @irenetrampoline.bsky.social and Hugo Campos Jr (and others on the CPH YouTube channel). @ajh.bsky.social moderates. buff.ly/YBTvBJD @ucsfdocit.bsky.social
How can we better #model #gigabytes of #data when screening for #cancer and other #health conditions? CPH's Dr. Adam Yala discusses how he is building the next generation of #AI risk detection models.
AI based risk detection models for personalized cancer screening
Featuring: Dr. Adam Yala
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“It’s about the human components of practicing everyday.”

CPH faculty & Center for Healthcare Marketplace Innovation’s Jon Kolstad discusses why we need to think about system incentives when considering #AI advances in #health.
#BerkeleyHaas #AI4all #economics
System incentives when considering AI advances in health
Featuring: Dr. Jonathan Kolstad
www.youtube.com
Great both to welcome @Serinachang5.bsky.social to CPH faculty, and to see her honored with a Google Research award to advance a new generation of AI-powered population health models!
#ML models often drop in performance from one #hospital to another. How do we understand reasons for the drop & use them to improve #models? Dr. Harvineet Singh
tells us about a framework that provides an actionable decomposition of performance. buff.ly/Gl8sNW4 #AIforall
"Why did the AUC drop?" Explaining Performance Changes of ML Models across Hospital Sites
Featuring Harvineet Singh
www.youtube.com
Sylvia Chen proposes doubly robust policy learning, where targeted maximum likelihood estimation with automatically debiased neural nets to learn the optimal shifts for multidimensional #treatment #variables under a stochastic treatment regime. #causalinference www.youtube.com/watch?v=7DhF...
Doubly Robust Policy Learning for Causal Stochastic Interventions Thru Auto-debiased Neural Networks
Featuring Sylvia Cheng
www.youtube.com