UC Joint Computational Precision Health Program

CPH's @Idasim delivering keynote at @Chilconference, urging computational experts to look beyond EHR to multiple sources of data reflecting how people manage chronic conditions (and developing a new platform, JupyterHealth, to get us there). @ahli_cc @UCSFDGIM @MaryamVareth

Great to see CPH students Xinyang Han and Radhika Balerao helping make #CHIL2025 a reality. @Ron_alfa of @Noetik_AI and @Johnaxerio of @tempusai now describing the journey from idea to startup at the pre-conference on health AI builders. @ahli_cc @drdremdphd

SANDLab had a great showing last week at the IEEE Engineering Medicine and Biology Conference (EMBC 2025) in Copenhagen! We presented 4 posters representing 3 peer-reviewed papers and 1 research abstract. @IEEEembs @UCJointCPH @berkeley_ai @BerkeleyCDSS

MIT @techreview on important--and concerning--new finding that medical disclaimers are less common than they used to be in AI outputs. @_ahmedmalaa joins @Roxanadaneshjou Sonali Sharma and co in analyzing the trends. @BerkeleyCDSS @UCSF_BCHSI @UCSF_DOCIT

Sylvia Chen proposes doubly robust policy learning, where targeted maximum likelihood estimation with automatically debiased neural nets learn optimal shifts for multidimensional #treatment variables under a stochastic treatment regime.@BerkeleyCTML @UnibusPluram #causalinference

For #patients with #heart disease, #AI is transforming the #diagnosis process. @_ahmedmalaa discusses the #data driven techniques that are providing new insight into patients needs and benefits. #ozempic #AIforall #hearthealthy buff.ly/lp9o167

Big congrats to CPH PhD 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 #Winners

#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

@atulbutte and his contributions memorialized at @CHILconference 2025 by Peter Szolovits, with beautiful pictures and remembrance. @UCSF_BCHSI

CPH student @zhongyuan_liang explains his work, done with @irenetrampoline and colleagues, on using LLMs to extract data on treatment adherence from medical notes -and the perils of failing to include this kind of data in analysis of treatment efficacy. @ahli_cc @CHILconference

And we are so honored to have you join us—starting next week!—in CPH as Assistant Professor. Looking forward to this work and other great things!

.@egnij, @Irenetrampoline and colleagues used an #LLM to extract #data on structural determinants of health—and identified their impact on #patients who got #liver transplants. Dr. Ge describes their work. @UCSFDOM @AmCollegeGastro #Informatics #AIforall buff.ly/NiS5sDW

Congratulations to CPH's @_ahmedmalaa, receiving @googleresearch Scholar award for groundbreaking work on use of AI and high-throughput proteomics to predict treatment impact for populations often excluded from clinical trials. @BerkeleyDataSci @UCSF_BCHSI

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

CPH's .@Irenetrampoline 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: buff.ly/h8MWGFQ #AIforall #ML4H

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

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. @AliceTang_mstp @UCSF_BCHSI @msirota84 buff.ly/Gs5nuP2

.@drgaguilera from @berkeleysocwel brings attention to #health #equity in the digital & computational ecosystem when it comes to physical activity and other related #health conditions. #spanish #personalized #AI4health

You made it! 🌟 From the first line of code to final exams — every step has led to this moment. Congratulations to our incredible graduates! 🐻✨ #CalGrad #CDSSgrad

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 @UCSF_BCHSI @UCSF_DocIT #digitalhealth #AI4Good #autism #SUD