News & Events
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CPH in the News
Transforming Cardiology Through Machine Learning
Featured faculty: Rima Arnaout, MD
CPH and UCSF Department of Medicine’s Rima Arnaout talks to the JAMA Medical News podcast about the transformative potential of AI for cardiology, including improved interpretation of ultrasounds and echocardiograms and patient phenotyping.
Source: JAMA Network
March 6, 2024
The Center for Healthcare Marketplace Innovation to Improve Public Health
Featured faculty: Jon Kolstad, PhD, Ziad Obermeyer, MD
The Center for Healthcare Marketplace Innovation aims to shape the future of AI in healthcare through groundbreaking economic research, data partnerships, and more.
Source: Berkeley Public Health
March 6, 2024
2024 STATUS List features Ida Sim in top 50 influential people shaping science of health and medicine
Featured faculty: Ida Sim, MD, PhD
STAT NEWS honors the leadership and contributions of CPH’s Ida Sim–including her in the STATUS2024 list of fifty individuals in the world doing most to shape healthcare, life sciences, and biotechnology. Fellow honorees include Peter Lee of Microsoft Research, Nobel winner Katalin Karikó and other notables.
Source: STAT News
February 27, 2024
Using AI to Help Predict Onset of Alzheimer’s Disease and Genetic Risk Factors
Featured faculty: Marina Sirota, PhD, Sergio Baranzini, PhD
Marina Sirota, Sergio Baranzini and colleagues use machine learning and knowledge graphs to predict Alzheimer’s onset up to 7 years in advance and identify possible genetic markers and risk factors by gender.
Source: UCSF
February 21, 2024
Providing Relief for Chronic Migraines with New Sensors and Computational Methods
Featured faculty: Sandya Subramanian, PhD
Times Higher Education features Sandya Subramanian’s work to bring hope to chronic migraine patients through use of physiological sensors and analytical tools that analyse the autonomic nervous system for clues about the debilitating condition.
Source: Times Higher Education
February 8, 2024
Artificial intelligence is poised to revolutionize cancer diagnosis in patients
Featured faculty: Atul Butte, MD, PhD, FACMI
Dr. Atul Butte describes how AI tools can help ID drugs and treatments that fight cancer and empower patients–and cautions that we aren’t quite there yet.
Source: SF Examiner
February 4, 2024
Technology in our daily lives: clinician or company information?
Featured faculty: Ida Sim, MD, PhD
CPH’s Ida Sim highlights the ways that wearable devices like the Apple Watch focus user attention–on what the company (rather than clinicians) decide is most measurable/important.
Source: The Atlantic
February 1, 2024
Using AI to help read MRIs–and improve treatment of lower back pain and other complex conditions
Featured faculty: Sharmila Majumdar, PhD
Researchers at UCSF are using AI to help read MRIs for common but complex conditions like lower back pain, and see improvements in diagnosis, better identification of links between symptoms, and reduced patient time spent in claustrophobic scanners.
Source: San Francisco Chronicle
January 24, 2024
Berkeleyan Features New CPH Faculty Member
Featured faculty: Irene Chen, PhD
Berkeley News highlights new faculty arrivals–including our own Irene Chen.
Source: Berkeley News
January 16, 2024
New & Notable
CPH Faculty Awarded the Leonidas H. Berry Health Equity Research Award
Featured faculty: Irene Chen, PhD, Jin Ge, MD, MBA
Irene Chen and Jin Ge receiving the Leonidas Berry Health Equity research award from the American College of Gastronenterology for work Applying Large Language Models-Driven Natural Language Processing to Better Understand the Influence of Social Determinants of Health on Disparities in Liver Transplantation
Source: American College of Gastroenterology
March 2024
National Multiple Sclerosis Society Awards Dr. Sergio Baranzini the Barancik Prize for Innovation in MS Research
Featured faculty: Sergio Baranzini, PhD
By integrating massive amounts of data generated by advanced technologies, Dr. Sergio Baranzini and colleagues have identified gene variants linked to faster MS progression. These discoveries are bringing deeper understandings of factors that are driving multiple sclerosis.
Source: National Multiple Sclerosis Society
January 30, 2024
Upcoming Events
Wednesday, April 24, 2024, 9:00-12:30pm, via Zoom.
Women in Data Science Conference and Datathon Workshop
CPH's Irene Chen and others present at Stanford Lane Medical Library’s Women in Data Science event on AI and health equity.
Friday, April 5, 2024, 12:00-1:00pm, Mission Hall, MH 1406
AI Seminar Series: Shaping the Responsible Adoption of AI in Healthcare
Dr. Nigam H. Shah, MBBS, PhD, will speak on Stanford Healthcare’s adoption of health AI tools, with attention to use, reliability and fairness.
This seminar series is sponsored by UCSF Bakar Computational Health Sciences Institute, UCSF Division of Clinical Informatics and Digital Transformation, UCSF-UC Berkeley Computational Precision Health Program, and UCSF Department of Epidemiology and Biostatistics.
Click here to view official flyer.
Recent Events
March 12, 2024
CTML/Biostats Research Seminar Series
CPH’s Ahmed Alaa speaks on new methods of conformal prediction and uncertainty quantification.
This seminar series is co-sponsored by UCSF-UC Berkeley Computational Precision Health program and UC Berkeley's Center for Targeted Machine Learning and Causal Inference.
February 8, 2024
Senate Finance Committee testimony on “Artificial Intelligence and Health Care: Promise and Pitfalls.”
Dr. Ziad Obermeyer joined experts testifying before the US Senate Finance Committee on AI use in healthcare, noting how machine learning can help address health challenges or worsen disparities in care.
February 7, 2024
AI in Healthcare: "Towards Explainability, Transparency, and Responsible Governance"
CPH co-director Ida Sim joins UC Health Chief Health Data Officer Cora Han, policymakers, clinicians and interested members of the public at UC Center Sacramento to discuss, transparency, responsible governance, and the merits and limits of explainability of AI use in healthcare.
January 29, 2024
Artificial Intelligence (AI) and Data Science in the Medical Imaging of COVID and CANCER: MIDRC to the Real World
Speaker: Maryellen Giger, PhD, Professor of Radiology, University of Chicago
In the second UCSF seminar on Implementation and Evaluation of AI in real-world clinical settings, Professor Giger discussed AI in medical imaging, task-based discovery, predictive modeling, and robust clinical translation. With examples from cancer and COVID-19, including the creation and benefits of the large, open data set MIDRC (midrc.org).
Presentation recording will be shared here shortly.
This seminar series is sponsored by UCSF Bakar Institute for Computational Health Science, UCSF Division of Clinical Informatics and Digital Transformation, UCSF-UC Berkeley Computational Precision Health Program, and UCSF Department of Epidemiology and Biostatistics.
January 12, 2024
UCSF AI Seminar Series Implementation and Evaluation of AI in Real-World Clinical Settings: "Artificial Intelligence (AI) Readiness at UCSF: Current State and Future Directions"
A panel discussion on the state of clinical AI at UCSF, including Sara Murray, MD, MAS; Ida Sim, MD, PhD; Atul Butte, MD, PhD, Mark Pletcher, MD, MPH, and moderation by Julia Adler-Milstein, PhD.
View recording here. View slides here.
January 8, 2024
CPH/CTML Seminar: Dr. John Concato "FDA guidance on real-world evidence"
Seminar by Dr. John Concato, Office of Medical Policy in FDA’s Center for Drug Evaluation and Research, discussing FDA guidance on real-world evidence, historical context for the current approach, and challenges when using real-world data and evidence in drug development. Co-sponsored with the UC Berkeley Center for Targeted Machine Learning.