Computational Precision Health

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

This medical startup uses LLMs to run appointments and make diagnoses “Our focus is really on what we can do to pull the doctor out of the visit,” says Akido’s CTO.

CPH and @UC Berkeley EECS Prof. @emmapierson.bsky.social on whether AI use to remove the doctor from medical visits is really what we need--in MIT Tech Review @technologyreview.com

September 2025: This month, Dr. Ida Sim discussed relational AI in healthcare and its impact on respecting all persons, including patients and clinicians. With generative AI, machines now used… Relational Health AI and Respect for Persons | Ida Sim | Discussion Forum on Emerging ELSI Issues

ICYMI. Watch CPH's @idasim.bsky.social talk to the NIH's Bridge2AI about the new ethics required for doctor/patient interactions in the age of "relational" AI. #GenAI

Why elected leaders began to speak more positively about immigration 75 years ago. One figure explains the Cold War’s influence on America’s immigration past – and what’s happening now.

@goodauth.bluesky.social analyzes shifting political speech on immigration---building on work by CPH's Serina Chang and Dan Jurofsky and co. goodauthority.org/news/why-ele...

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

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…

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

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.

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

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

featuring CPH's Executive Director, Daniel Wolfe CPH: a Different AI Education

CPH's Executive Director @wolfenyc on why CPH is a different kind of #AI education program, and why it matters. #AI4Good #VoicesofCPH

CDSS welcomes 17 new faculty to the college in 2025 UC Berkeley’s College of Computing, Data Science, and Society (CDSS) welcomed 17 new faculty in statistics, electrical engineering and computer sciences, and computational precision health to its comm...

Welcome @emmapierson.bsky.social and @serinachang5.bsky.social -- we're so thrilled to have you in the Computational Precision Health community!

cdss.berkeley.edu/news/cdss-we... @berkeleycdss.bsky.social

AI based risk detection models for personalized cancer screening Featuring: Dr. Adam Yala

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.

Featuring: Dr. Jonathan Kolstad System incentives when considering AI advances in health

“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

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!

Featuring Harvineet Singh "Why did the AUC drop?" Explaining Performance Changes of ML Models across Hospital Sites

#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

Featuring Sylvia Cheng Doubly Robust Policy Learning for Causal Stochastic Interventions Thru Auto-debiased Neural Networks

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...

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

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

Featuring Michael Nercessian, Computational Precision Health PhD student Mirai-1.5: Assessing Breast Cancer Risk From Any Mammogram

#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

@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

Congratulations to CPH's @amalaa@bsky.social, 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

Diagnosis of Acute Coronary Syndrome using ECG waveforms: A ML framework and benchmark dataset Featuring Alexander Schubert, Computational Precision Health PhD student

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

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

Featuring: Dr. Irene Chen The data addition dilemma: when adding more data helps or hinders model performance

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:

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

Featuring Alice Tang, PhD Unlocking the Mysteries of Dementia: How Generative AI Helps Decode Patient Symptoms

It's hard to tell different types of #dementia apart, so we need better ways to describe heterogeneity in #symptoms. Using #AI from #clinical notes, we can find distinct patterns that can help diagnosis & treatment. Dr. Alice Tang tells us more! ‪@ucsf-bcshi.bsky.social‬ buff.ly/Gs5nuP2

@draguilera.bsky.social from @ucberkeleyofficial.bsky.social School of Social Welfare brings attention to #health #equity in the digital & computational ecosystem when it comes to physical activity and other related #health conditions. #spanish #personalized #AI4health
youtu.be/sMB9wG2ZcGc

Peter Washington, PhD Computation in Consumer Digital Health: Challenges and Opportunities. CPH Seminar on March 18, 2025.

ICYMI--Prof. Peter Washington talks computation and consumer digital health in the CPH seminar series. Full video on our YouTube channel here. buff.ly/UJpWxcU @UCSFDocIT.bsky,social #digitalhealth #AI4Good #autism #SUD

Featuring Zhongyuan Liang, Computational Precision Health PhD student Revealing Treatment Non‑Adherence Bias in Clinical Machine Learning Using Large Language Models

#ML systems trained on #treatment records often assume patient adherence. Using a #LLM to extract adherence from #clinical notes, ignoring non-adherence can reverse treatment effect estimates and harm model performance. ‪@irenetrampoline.bsky.social‬
‪@amalaa.bsky.social‬

Featuring: Dr. Sandya Subramanian Monitoring unconscious pain: nociception and personalized anesthesia management

How do we measure nociception, and how does this open new ways for #personalized
#anaesthesia management? CPH's Assistant Professor, Dr. Sandya Subramanian tells us how she used non-invasive, wearable sensors and computational methods during #surgery. #pain #neuroscience #AIforall.