
Exec. Director of @UCJointCPH, UCSF/Berkeley program working at intersection of computation, public health practice and equity. Views and retweets my own.
New York
Joined May 2011
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Harm reduction thinking, affordably priced medicine, minimal police involvement, and other key lessons from HIV for the COVID 19 response. My blog here: opensocietyfoundations.org/v…
Daniel Wolfe retweeted
Summer reading: CPH's @HugoOC @wolfenyc @Hongzhou_Luan and @IdaSim in @JMIR_JoPM on the LLM as a new actor in the doctor-patient relationship, and what it might mean for research and practice. And especially, for patients. buff.ly/DxZAbmW
J Participatory Med: Generative AI as Third Agent: Large Language Models and the Transformation of the Clinician-#patient Relationship dlvr.it/TMR3wF
Replying to @atulbutte
@atulbutte and his contributions memorialized at @CHILconference 2025 by Peter Szolovits, with beautiful pictures and remembrance. @UCSF_BCHSI
CPH student @zhongyuan_liang explains his work, done with @irenetrampoline 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
Daniel Wolfe retweeted
.@irenetrampoline on combining data sources to ensure that AI models work fairly and well in all settings and for all patients—and also on a new work examining what patients want from LLMs and how they want the health system to use them. @ucsf AI research day. @BerkeleyCDSS
Daniel Wolfe retweeted
CPH’s Adam Yala presenting on amazing work at UCSF AI research day with @MaggieChungMD and co using AI model to deliver same day mammogram results and follow up to patients at highest risk of breast cancer at safety-net hospital. #AI4H #breastcancer @UCSF_DOCIT
Bad training data in, bad generative AI out. Retraining Gemini beyond me—though maybe a fine tuned smaller LLM /RAG for drug use. And still want g to train model to recognize patterns for real-time drug checking purposes!
Tried #stablediffusion to generate images of drug users. Wanted to see how stigmatizing the images would be.
I guess the machines are too young to do drugs.
@wolfenyc is this another topic for you?
Learning much on models to return value to data contributors, decentralized autonomous orgs and more. @FundingCommons —thank you. Conference a great forum held in a great space @internetarchive here in S.F. and good to discuss work of @UCJointCPH in the company.
How can open collaboration accelerate AI research? 🤝
Join us at #FtCSF on Mar 15-16 to hear from @wolfenyc from @UCJointCPH, on fostering partnerships between academia and industry to drive innovation.
👉 Sign up: lu.ma/ftc-sf-2025
Daniel Wolfe retweeted
How can open collaboration accelerate AI research? 🤝
Join us at #FtCSF on Mar 15-16 to hear from @wolfenyc from @UCJointCPH, on fostering partnerships between academia and industry to drive innovation.
👉 Sign up: lu.ma/ftc-sf-2025
So long as metrics for OUD (itself a fuzzy, poorly defined category) depend on structural factors that are themselves unstable (using as prescribed when the docs change their practices, getting in trouble with the law when the laws and enforcement are variable), it’s all a mess.
I am working on content about the DSM 5 OUD dx. Mild OUD isn't seen as addiction, according to experts. But, do algorithms read them that way? I've never seen mild, moderate, or severe put in a chart of a pain pt. If Mild OUD isn't addiction then they need another word, or no word at all. Does Bamboo Health read Mild OUD as not addiction? How about the DEA? State Med Boards? Any of the payer or other risk score algorithms? Also, what's the standard of care for Mild OUD? Kolodny says Suboxone. Why? If it's not addiction and someone is stable, why Suboxone? All of this has greatly harmed pain pts.
Returning to "X" after an absence, and with good news that my @UCJointCPH program colleague @IdaSim recognized by @STATnews as one of 50 most shaping health science. Work on democratizing data for diabetes management--with @commons_prjct--called out! buff.ly/3IgaBT6
Scandalous and routine. A symptom of system thinking obscuring humanity and common sense.
Inspiring, bold project to bring the ethos of open science, shareable code, and brilliant clinicians, computer scientists, and patient advocates to transform use and impact of health data. Proud to be part. @UCJointCPH @Idasim @ucbids @commons_prjct @2i2c_org @BerkeleyDataSci
So excited to partner with @BerkeleyDataSci, @UCBIDS, @commons_prjct, @drjessilyn. We will bring an open scalable approach to sensor-based care, starting with @UCSFDGIM and @UCSFDiabetes. This project shows the power of bringing @UCSF and @UCBerkeley together through @UCJointCPH
Algorithmic injustice: UnitedHealth used machine learning to push Medicare patients off rehab services--despite claims that algorithms were meant to guide, rather than dictate, decisions.
Via .@statnews by @caseymross and colleagues.
So right, and so we’ll deserved!
Over the moon to be on #TIME100Next list of emerging leaders globally. Amazing company to keep! So much love to teams @RemedyAlliance @UNC who make the #harmreduction and science happen.
time.com/collection/time100-…
@ejwheeler9 @UNCpublichealth @UNC_IPRC
@TIME @TaraLaw27
Unlocking the mysteries of the autonomic nervous system--pain while unconscious, interactions between mind and gut, and much more. @SandyaPhD to bring her cutting-edge work to @UCjointCPH, @BerkeleyDataSci, @UCSF_BCHSI and others in the field in 2024.
Thrilled to announce that Dr. Sandya Subramanian @SandyaPhD will join CPH in 2024! We're blown away by Dr. Subramanian's work developing new technologies and methods to study interactions between the brain, autonomic nervous system, and body--can't wait to have her at CPH!
High school students from underserved communities rocking it on AI and health. Talk about Next Generation evidence.
Young, gifted and using AI--@ai4allatUCSF students present work on miscarriage, endometriosis and more at summer symposium, July 28 10:30-12:30 PT. And @UCJointCPH co-director @DrMayaPetersen delivers wisdom in her keynote speech to start (10:30-11:15). Will be fierce.
Excited and proud to start new role as ED of @UCJointCPH , groundbreaking program of UCSF and UC Berkeley working at the intersection of machine learning, computation, clinical/public health practice and equity. Brilliant colleagues and important work ahead.
Daniel Wolfe retweeted
I can’t think of a group more desperately in need of hearing @speakingabtpain
Kate is a sterling clear voice for the perspective of people with pain, whose survival & safety has been- in every way- an afterthought for most people at every #RxSummit
Happy to be in Atlanta for the #RxSummit2023 talking about the importance of shared decision-making and individualized care of people with pain & gaps and barriers in care, especially for those who use #RXopioids to manage pain. @theNAMedicine #ChronicPain
Daniel Wolfe retweeted
My op-ed for @LATimes with @LeoBeltsky on the devastating impact of @DEAHQ proposed teleprescribing rules.
latimes.com/opinion/story/20…
Insurance denials, hospitals prescriptions, fraud detection—algorithm driven but rarely tested for accuracy or unintended side effects.
This @statnews investigation finds that “insurers are using unregulated predictive algorithms, under the guise of scientific rigor, to pinpoint the precise moment when they can plausibly cut off payment for an older patient's treatment.” statnews.com/2023/03/13/medi…






















