Chief Data Scientist @UofCAHealth・Director, Bakar Computational Health Sci Institute @UCSF_BCHSI・Distinguished Prof @UCSF・Entrepreneur・He/him・Opinions ⇨ my own
Congrats to UCSF's @AnnaMolofskyLab & @MartinUCSF 2025 Bowes Biomedical Investigators! Their research is redefining brain science, revealing how immune signals and genetics connect neuropsychiatric and neurodegenerative diseases to unlock new treatments. tiny.ucsf.edu/szg96P
“Minimal residual disease (#MRD) #CancerTesting is becoming an increasingly essential part of patient management, as studies show it benefits patients. It enables medical teams to make earlier and more informed decisions in the recovery stages. This shift from reactive to proactive care reduces guesswork and helps provide better peace of mind for patients worried about their #cancer returning.”
Read more from Richard Chen, MD, MS, Chief Medical Officer and EVP of R&D at Personalis on his thoughts on advances in #PersonalizedMedicine reshaping patient care: bit.ly/419zytD.
#PrecisionOncology#ctDNA
The 8 – 12 week summer internship program at @UCSF_ci2 is open to all undergrad, grad & medical students. Don't miss this chance to collaborate with researchers on #AI & #MachineLearning projects!
Repost to share with your networks!
bit.ly/4jhdLaq
Last week, we published new data 📊 in Nature Medicine highlighting TRACERx lung cancer study pre-operative ctDNA results with NeXT Personal®:
- 81% sensitivity for lung adenocarcinoma (LUAD) and 100% for non-LUAD
- LUAD patients who were ctDNA-negative preoperatively achieved 100% 5-year overall survival rates while ctDNA-positive patients exhibited poor clinical outcomes
- Substantial portion of LUAD patients had pre-operative NeXT Personal detections in the ultra-sensitive range <80 PPM
Discover more:
bit.ly/40NDJvbbit.ly/40I2R6gbit.ly/4h6rYpkbit.ly/4h3aoSO#PrecisionOncology#ctDNA#TRACERx#LungCancer#NSCLC
Thrilled to share our pre-print on 1st Federated Learning model deployed between Earth & @Space_Station 🚀 Huge thanks to @HPE (SpaceBorne Computer), @intel (OpenFL), & @NASA@NASAGeneLab@NASAAmes Open Science Data Repository. Let’s build & move the ball forward! 🌅 Link below
AI isn’t replacing imaging specialists, but it has health care experts reimagining the field. From faster diagnoses to better brain scans, here are four ways AI is changing health care at UCSF Center for Intelligent Imaging. tiny.ucsf.edu/zi6Vuc@UCSF_Ci2
So awesome! “Daily ferry service is sailing toward Mission Bay.” Imagine commuting directly to @UCSF Mission Bay via high-speed zero-emissions boat! Scheduled to begin service in 2027. Now all we need is service to the South Bay! 😊
ucsf.edu/news/2025/01/429306…
“People are often surprised that we don’t have a drug to treat #TBI,” our chief of neurotrauma Geoffrey Manley, MD, PhD, told @sfchronicle. He is now leading a clinical trial at UCSF evaluating three drugs as potential treatments:
sfchronicle.com/health/artic…@ZSFGCare@UCSFHospitals
A month ago we @vevo_ai announced that we have generated the largest single-cell perturbation atlas in history, Tahoe-100M. Today, we announce that we will fully open-source Tahoe-100M in Feb, as part of a collaboration with @NVIDIAHealth to train cell state models.
Today, I directed @TDEM to deploy firefighters, fire engines, & firefighting equipment to help battle wildfires in California.
Join Cecilia & me in prayer for those who lost their lives, for the heroic first responders, & for California.
Texas stands with our fellow Americans.
A $4.2M @NIH grant will expand @ucsf/@UCClimateHealth research into how climate-related events, such as wildfires, affect health. These events particularly affect young children, seniors and people with chronic diseases, researcher Arianne Teherani says. ucsfh.org/407VW50
Please join me in donating to the following fund to help friends and colleagues at NASA JPL who have lost homes or otherwise have been severely impacted by the ongoing wildfires in LA. gofund.me/0c17ffcf
Can AI help diagnose rare diseases faster? Researchers from UCSF and UCLA Health used AI to spot patterns and speed up diagnoses like acute hepatic porphyria with 93% accuracy. tiny.ucsf.edu/ZFBFlt