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How do we measure nociception, and how does this open new ways for #personalized #anaesthesia management? .Sandya Subramanian tells us how she used non-invasive, wearable sensors and computational methods during #surgery. #pain #neuroscience #AIforall buff.ly/Wq3Kzxh

It was a pleasure to participate in the #WiDS panel organized by Lane Medical Library! I enjoyed chatting with Luna Baalbaki and Holly Tabor about Women in Health Informatics and shared some of the latest research from the SANDLab (subramanianlab.com) at UC Joint Computational Precision Health Program

#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 & harm models. buff.ly/b3H7TS8 Zhongyuan Liang Irene Chen Ahmed Alaa

Commentary | Oncology: Considerations in Translating AI to Improve Care by Julian Hong Divneet Mandair; Marianna Elia UC San Francisco UC Joint Computational Precision Health Program jamanetwork.com/journals/jaman… JAMA Network

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 Bakar Computational Health Sciences Institute @UCSF_DocIT #digitalhealth #AI4Good #autism #SUD

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

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

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. Alice Summer Tang UCSF Bakar Computational Health Sciences Institute Marina Sirota buff.ly/Gs5nuP2

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

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

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

Congratulations to CPH's Ahmed Alaa, 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. UC Berkeley CDSS UCSF Bakar Computational Health Sciences Institute

.Jin Ge, @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. UCSF Department of Medicine ACG #Informatics #AIforall buff.ly/NiS5sDW

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

CPH's Ida Sim 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 Maryam Vareth, PhD 👩🏻‍💻

CPH student Zhongyuan Liang explains his work, done with Irene Chen 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!

#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

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