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.
CPH Seminar: Quantifying the impact of a sarbecovirus vaccine in a future SARS-X pandemic
From Data to Knowledge: Integrating Clinical and Molecular Data for Predictive Medicine
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.
AI Model Maps the Brain at Unprecedented Detail and Scale
Reza Abbasi-Asl, PhD, and colleagues from UCSF and the Allen Institute have developed CellTransformer, an AI model capable of creating a fine-grained map of the brain at unprecedented detail and scale. Read the findings in their Nature Communications article.
Isabel Rodriguez-Barraquer named co-Director of new UCSF Center for Malaria and Vector-Borne Diseases
Isabel Rodriguez-Barraquer, MD, PhD, has been appointed co-Director of UCSF’s newly established Center for Malaria and Vector-Borne Diseases, advancing interdisciplinary research to combat global infectious diseases.
USC Schaeffer Center Seminar, Ziad Obermeyer presents “Bedside to Bench: Reinventing Medicine with AI”
CPH Seminar: Translating Tuberculosis Biomarkers from Discovery to Clinical Practice
Seminar recording forthcoming
Berkeley EECS Colloquium – Serina Chang on “Inferring and simulating human behaviors for societal decision-making”
Bridge2AI – Relational Health AI and Respect for Persons, presented by Ida Sim
NIH Honors CPH Researchers for Cutting-Edge AI in Dermatology
CPH’s Ahmed Alaa and colleagues have received an award from the NIH Director’s office for work on participatory mutimodal AI and editable foundation models to improve dermatological diagnosis and tx.
