Nice overview of key #SportsCardio highlights from #AHA25. Article featured our study leveraging Fitbit and electronic health records in All of Us to understand the relationship between physical activity, sleep, and risk of whole range of chronic diseases Link to article 👇 bit.ly/42Knmk2

Wearables can help better understand CVD risk. But this new study highlights potential for wearable data to predict #ADHD and #anxiety in 9-14yo. Still far from using #wearables in clinical care, but this is interesting work linking wearable data to outcomes beyond CVD/mortality. bit.ly/4hk9RvU

Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations

Complex disorders require precise strategies for their characterization. AI-based digital phenotypes from biosensors can be used to predict psychiatric disorders and identify GWAS loci.

bit.ly

Nowhere quite like Boston on a snowy Saturday morning in Feb running alongside a whole community on what would otherwise be a pretty inconspicuous road in the suburbs of Newton. 🤌 @bostonmarathon.bsky.social

First post on Bluesky! Been a busy few months, but excited to share that NIH/NHLBI K23 award was funded! Looking forward to advancing translational research in sports and exercise cardiology 🙌 Very grateful to mentor Dr. Robert Gerszten More on the grant👇 bit.ly/42HRfS2 bit.ly/4cg5krF #CardioSky