Voices of #CPH ! 'Together we're able to take a model all the way to implementation...and then figure out if it actually does benefit the entire patient population, not just people who have been overrepresented in the data' - CPH faculty Irene Chen on algorithmic equity.

Voices of #CPH ! 'I came to CPH because it was actually really my dream to merge those two pieces together.' - CPH student Eduardo Rodriguez on why combining clinical expertise with innovation in computer science is pivotal to enhance care and outcomes at UCSF. #AI4H #ML4H

Voices of #CPH ! 'We need a new set of methods, some evaluation procedures…because in medicine, our tolerance to error is very different.' - CPH and UCSF Bakar Computational Health Sciences Institute UCSF Helen Diller Family Comprehensive Cancer Ctr faculty Gilmer Valdes on ensuring AI meets the unique precision requirements of healthcare. #AI4H #ML4H

Voices of #CPH ! 'One of the great things about CPH is the access that we have to both colleagues and collaborators at UCSF who are working with patients daily and also doing research.' Computer scientist and CPH & @BerkeleyIschool faculty Niloufar Salehi on interdisciplinarity.

Voices of #CPH ! ' It's really important to translate the exciting science that's going on for the benefit of populations in need.' - UCBSocialWelfare and CPH faculty Adrian Aguilera on making cutting-edge data science useful for non-English speaking populations #ML4H

May 6, 4-5pm. CPH seminar! Allison Schmitt, Director of the Life Sciences Law and Policy Center on 'Algorithms, IP, Patents and Trade Secrets' Via Zoom, co-sponsored w/@BerkeleylawBCLT and Center for Healthcare Marketplace Innovation. RSVP here: buff.ly/49Pdeq7

Visiting the The White House for White House Office of Science & Technology Policy Minority Health Forum. Part of it will be live-streamed if you want to check it out youtube.com/watch?v=s3PWXq…

Voices of #CPH ! 'It’s really exciting to see CPH take off. It’s been just an amazing journey.' - Kathy Yelick, Vice Chancellor for Research at UC Berkeley, marking the progression of CPH from idea to full-fledged PhD program at UCSF and Berkeley Computing, Data Science, and Society #AI4H

April 26. 9AM PT. CPH's @YalaTweets speaks in @UVAdatascience seminar series on balancing early detection/over screening in cancer. including new methods for risk assessment and personalized screening policy.
Livestream here: buff.ly/4d53o6y

Discovery, yes. But also analysis of cost reduction through ML use: Julian Hong and colleagues recognized for their groundbreaking work in NEJM AI . ai.nejm.org/doi/full/10.10… #ML

#CPH faculty Dr. Rima Arnaout talks to JAMA Network about the transformative potential of AI for cardiology, including improved interpretation of echocardiograms and patient phenotyping. via Dr. Yulin Hswen @ucsf_BCSHI arnaoutlab jamanetwork.com/journals/jama/…

Great to see CPH students, faculty and colleagues proposing an new evaluative framework for LLM use in clinical workflow. Great work, badly needed by Nikita Mehandru, Eduardo Rodriguez, Brenda Miao, Madhumita Sushil Atul Butte and Ahmed Alaa. UCSF Bakar Computational Health Sciences Institute Berkeley School of Information

Two days until Stanford Department of Medicine Nigam Shah speaks on responsible adoption of #AI in #heathcare . Cosponsored by UC Joint Computational Precision Health Program UCSF Bakar Computational Health Sciences Institute CTSI at UCSF UCSF Epidemiology & Biostatistics UCSF DoC-IT. 12-1pm, Mission Hall & via Zoom:
buff.ly/3Pp6WWX'

One week until Stanford Department of Medicine Nigam Shah speaks on responsible adoption of AI in healthcare (4/5, 12PM PT). Insights on data, strategy and Stanford Health Care's take on fair use of AI. Cosponsored by #CPH UCSF Bakar Computational Health Sciences Institute CTSI at UCSF UCSF Epidemiology & Biostatistics UCSF DoC-IT. buff.ly/3Pp6WWX'

.@UCSF_BCSHI and #CPH 's Dr. William Brown III on mentorship, work with the CODELab, and the promise and limits of AI, LLMs and bioinformatics in understanding structural determinants of health, health equity and DEI. Via CTSI at UCSF

Conformal prediction enthusiasts! April 2, 2-3:30 PM PT. Join Ahmed Alaa lab's Rising Star series to hear Nathaniel Diamant, Senior AI Scientist @Genentech, discuss SPICE, a neural network designed for conformalized regression.
Via Zoom: RSVP here: buff.ly/4cAzIxH

Congrats to our colleague @Fperez_org and other brilliant Project Jupyter pioneers for winning recognition challenge from White House Office of Science & Technology Policy. Grateful and glad to be working with them to turn that brilliance to advancing health! Ida Sim The Commons Project Foundation CommonHealth Maryam Vareth, PhD 👩🏻‍💻 Meredith Lee

Saving money and improving care: RCT by @Julian_Hong and colleagues in NEJM AI shows how machine learning can reduce costs and acute care incidents for patients receiving radiation therapy. UCSF Bakar Computational Health Sciences Institute UCSF Helen Diller Family Comprehensive Cancer Ctr buff.ly/3wUDa5Z