Jean Feng, PhD, and collaborators featured in UCSF News and Nature have developed HACHI, a new model for developing tools that pairs AI’s ability to rapidly analyze medical records with the expertise of clinicians.
Using Wearables Data in the Clinic
Ida Sim, MD, PhD, featured in STAT News, sharing her perspective on the value of wearables data and the challenges of integration in the clinic.
Reducing Breast Cancer Screening Time for High-Risk Women
Researchers Discover New Way to Detect Sudden Cardiac Death Risk
Ziad Obermeyer, MD, CPH PhD student, Alex Schubert, and collaborators featured in Berkeley News for their latest Nature publication, using more than 440,000 EKGs from Sweden to train an artificial intelligence model to analyze the spikes and waveforms produced by the heart’s electrical currents.
Stress and Stressor AI: The Next Frontier of Wellness with Wearables
The Implementation and Evaluation of AI in Real-World Clinical Settings Seminar Series is cosponsored by: UCSF Bakar Institute for Computational Health Science, UCSF Division of Clinical Informatics and Digital Transformation, Department of Medicine, UCSF and UC Berkeley Computational Precision Health Program, and UCSF Department of Epidemiology and Biostatistics.
Reza Abbasi-Asl Receives the UC Noyce Initiative Award and the 2026 Marcus Program Transformative Integrated Research Award
Congratulations to Reza Abbasi-Asl for receiving the UC Noyce Initiative Award to develop robust vision-language models for clinical applications, in collaboration with UCSB and UCD, and the 2026 Marcus Program Transformative Integrated Research Award with UCSF researchers, focusing on developing personalized brain network models to predict non-invasive brain stimulation responsiveness in stroke patients.
Sandya Subramanian, PhD, Receives the Weill Institute-Catalyst Final Award for Medical Devices
Congratulations to Sandya Subramanian, PhD, and collaborators, for winning the Weill Institute-Catalyst Final Award for Medical Devices for their project, DetruSense – A Non-invasive Wearable Sensor for Bladder Muscle Activity.
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Pan, T.-F., Nandi, B., Campusano, R., Simon, A. J., Ziegler, D. A., Gazzaley, A., Abbasi-Asl, R., & Zanto, T. P. (2026). When more is not better: Predicting human emotional states with brain and bodily biosensors. Biomedical Signal Processing and Control, 113, 109038. https://www.sciencedirect.com/science/article/pii/S1746809425015496
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Wu, R., Ferreira, G., Khan, N. S., Mahmud, S. T., Stoop, J., Sohn, L. L., Leopold, J. A., & Randles, A. (2026). Digital twins and digital models of the human circulatory system. Nature Reviews Bioengineering, 1–20. https://doi.org/10.1038/s44222-026-00427-5
Wu, R., Ferreira, G., Khan, N. S., Mahmud, S. T., Stoop, J., Sohn, L. L., Leopold, J. A., & Randles, A. (2026). Digital twins and digital models of the human circulatory system. Nature Reviews Bioengineering, 1–20. https://doi.org/10.1038/s44222-026-00427-5
