Want to know the state of AI & Cardiology? Our #JACC reviews are for you!
https://t.co/stDQG6sRby
Pt 1: The field's most comprehensive primer. Every study you should know about in 1 place
Pt 2: Tackling today's evidence, equity, & regulatory challenges
@EricTopol@mattlungrenMD
🚀🫀Explore recent breakthroughs, future directions, and evaluation & infrastructure needs for #AI-augmented cardiovascular care. Learn more in our two-part review published in @JACCJournals#ACC24.
Part 1: https://t.co/Tz1l4B7MTY
Part 2: https://t.co/elZvG3l4v3
Excited to finally share the results of our GWAS and multi-trait analyses characterizing the 🧬 genetic architecture of 🫀heart failure, now published in @NatureComms
Thanks to @damrauer and @bvoight28 for their mentorship, and all the contributors!
https://t.co/uKx8g183s3
We got to welcome our new CRADLE teammates to NYC for an on-site! Bringing data scientists like @ChrisMHaggerty to @NYPAdvances and @ColumbiaMed, including our Cath lab & CCU. Started the day with which team could use spaghetti, string, and tape to make the tallest structure 😁
This means today is my last day at Geisinger after almost 8 years. Tremendously grateful for my time here and the great colleagues I’ve had a chance to work with!
Some news: I’ll be starting Monday as Director of Data Science at NewYork-Presbyterian .. teaming up with @PierreEliasMD to accelerate development and implementation of machine learning in Cardiology across NYP, Columbia, and Cornell hospitals. Really excited for the road ahead..
Out today in @JACCJournals, our ValveNet study shows a ML model can detect mod-severe left sided valve disease from ECG. This model is currently running live in our health system daily. Now let me tell you everything wrong with it! A brief 🧵 https://t.co/rjtZxxTLt9
⚡️ From @ChrisMHaggerty + team: Loss-of-Function FLNC Variants Are Associated With Arrhythmogenic Cardiomyopathy Phenotypes When Identified Through Exome Sequencing of a General Clinical Population https://t.co/R0ePHz3tLp
@AHAScience#AHAjournals
🎥 @AnwarChahal@jenniejlin
@ProtonotariosA@robyn_hylind Thanks for sharing! Look forward to seeing how UK Biobank findings compare to what we’ve observed in DiscovEHR/MyCode https://t.co/jKQzvLjho8
You’ve heard of HFrEF, HFmrEF and HFpEF… but have you heard of their sibling HFsnEF (heart failure + SUPRANORMAL EF)?
Our new study in @ESC_Journals https://t.co/nV1c9HC4ug sheds light on this understudied/underdiagnosed entity 🔎🫀
#CardioTwitter#CardioEd#MedTwitter
1/8
How do TTN mutations cause DCM? Haploinsufficiency? Poison Peptides? To date the evidence has been… well, neither. That changes now, with these side-by-side papers in @ScienceTM. 1/3 https://t.co/RfdfabjEdk