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44th annual Sarnoff conference in SF. A decade has passed by and it still feels like yesterday when my co-fellows and I embarked on a journey of scientific discovery in cardiovascular research as med students. Thank you Sarnoff Foundation for this amazing community.

Our paper 'Temporal dynamics of the multi-omic response to endurance exercise training' was just published in nature! nature.com/articles/s4158… This extensive resource on the molecular map of the cross-tissue response to exercise is the result of a massive team effort! 1/

Exercise may be the single most potent medical intervention ever known. Its benefits in prevention outstrip any known drugs: 50% reduction in the risk of cardiovascular disease, 50% reduction in the risk of many cancers, positive effects on mental health, pulmonary health, GI

Happy birthday Barbra Streisand, GOAT and personal hero 🥳 Thanks for letting me interview you that one time for American College of Cardiology acc.org/Latest-in-Card… 💕

Excited to share our insights on recent research uncovering racial disparities in readmission rates from Medicare data! Stanford Division of Hospital Medicine jamanetwork.com/journals/jama/…

The genetics of human performance go.nature.com/2VIjZKt #Review by Dan Seung Kim, MD, PhD, MPH, Matthew Wheeler & euan ashley
StanfordCVFellowship Stanford Department of Medicine @Stanford
Free to read here: rdcu.be/cxKrt #SharedIt

So proud of StanfordMedRes PGY-3 and one of next year’s Stanford Internal Medicine Chiefs Chief Residents, #SulaimanSomani ! 👏Stanford Department of Medicine

#ACC24 Jimmy Zheng presenting on diuretic strategies in national sample of ADHF. Not much has changed since ADHERE registry Andrew P. Ambrosy, MD Stanford Department of Medicine

Past and more recent ⁦StanfordCVFellowship⁩ grads like ⁦Eugene Yang⁩ ⁦Fatima Rodriguez⁩ ⁦Ashish Sarraju⁩ ⁦Krishna Pundi⁩ Ramzi Dudum ⁦American College of Cardiology⁩ 2024 in session on AI in Cardiology!

New CarDS Lab #echofirst paper out in JAMA Cardiology #ACC24

We build on our recent work on detecting AS from 2D echo w/o Doppler using a video-based AI biomarker (DASSi, ref: tinyurl.com/hrupxwbv)

✅DASSi stratifies the risk of AS progression among more than 12k participants