Computational Precision Health
@ucjointcph.bsky.social
150 followers 120 following 53 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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ucjointcph.bsky.social
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
ucjointcph.bsky.social
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
ucjointcph.bsky.social
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
ucjointcph.bsky.social
The CPH PhD program is now accepting applications for Fall 2026 🎓 ✨

We're looking for passionate, driven students ready to shape the future of health with the power of computation.

🔗 Learn more and apply: buff.ly/puAPR5w
#AIHealth #UCSF #UCBerkeley #FutureofHealth
PhD Program - Computational Precision Health
PhD Program The PhD in Computational Precision Health leverages and bridges the complementary expertise and incredible resources of UC Berkeley and UCSF to create an unparalleled and truly unique…
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ucjointcph.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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ucjointcph.bsky.social
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
ucjointcph.bsky.social
CPH's Executive Director @wolfenyc on why CPH is a different kind of #AI education program, and why it matters. #AI4Good #VoicesofCPH
CPH: a Different AI Education
featuring CPH's Executive Director, Daniel Wolfe
www.youtube.com
ucjointcph.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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ucjointcph.bsky.social
“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
ucjointcph.bsky.social
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!
ucjointcph.bsky.social
#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
ucjointcph.bsky.social
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
ucjointcph.bsky.social
For #patients with #heart disease, #AI is transforming the #diagnosis process. @amalaa.bsky.social discusses the #data driven techniques that are highlighting the most efficient and affordable solutions for individuals.
#ozempic #AIforall #research #hearthealthy
ucjointcph.bsky.social
Big congrats to CPH grad students, Radhika Bhalerao for receiving the Julius R. and Patricia A. Krevans Fellowship and Adú Matory, who has been awarded the UCSF Graduate Research Mentorship Fellowship! We’re so proud to celebrate this achievement! #CPH #UCSF #UCB
ucjointcph.bsky.social
#Breast #cancer screening reduces mortality, but significant controversy exists over optimal screening guidelines. CPH #PhD student, Michael Nercessian, build on Dr. Adam Yala & colleagues' Mirai, a state of the art risk #prediction model. #AI #ML buff.ly/rejSXij
Mirai-1.5: Assessing Breast Cancer Risk From Any Mammogram
Featuring Michael Nercessian, Computational Precision Health PhD student
www.youtube.com
ucjointcph.bsky.social
@egnij.bsky.social , @irenetrampoline.bsky.social and colleagues used an #LLM to extract #data on structural determinants of health—and identified its impact on #patients who got #liver transplants. Dr. Ge describes their work. @ucsfhealth.bsky.social
@amcollegegastro.bsky.social
ucjointcph.bsky.social
Congratulations to CPH's @[email protected], winner of a Google Research Scholar award for groundbreaking work on use of AI and high-throughput proteomics to predict treatment impact for populations often excluded from clinical trials. @ucsf-bchsi.bsky.social
ucjointcph.bsky.social
Can an open #dataset of #ECGs linked to #cardiac catheterization outcomes help improve #diagnosis of acute coronary syndromes, by allowing a broad set of #researchers to develop new #ML approaches? CPH #Phd student Alex Schubert tells us more! #AIforall buff.ly/q80cj3g
Diagnosis of Acute Coronary Syndrome using ECG waveforms: A ML framework and benchmark dataset
Featuring Alexander Schubert, Computational Precision Health PhD student
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ucjointcph.bsky.social
The Designated Emphasis program is looking for students to join the Fall 2025 cohort. Interested students are encourage to apply here: bit.ly/45R68mF
#CPH #DE #Fall25 #admissions #apply
ucjointcph.bsky.social
CPH's @irenetrampoline.bsky.social explains the #data addition dilemma, and how adding more doesn't always make a #model better. See this and other quick takes on cutting-edge research on the CPH #YouTube channel:
The data addition dilemma: when adding more data helps or hinders model performance
Featuring: Dr. Irene Chen
www.youtube.com
ucjointcph.bsky.social
Prospective students are welcomed to join the information session on Thursday, June 26 at 12:00PST. Come and ask the questions that will help you prepare for the Fall 2026 admissions cycle. Register: bit.ly/43zkZ3M #admissions #cph #fall26 #AI4Halth #infosession