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AI-Based Biomarker for Aortic Stenosis Found by Yale Researchers

Yale investigators have identified a new artificial intelligence (AI)-based video biomarker that is able to identify those who might develop and have rapidly

United statesAndreas coppiGregory holsteRohan kheraAmitn voraRobertl mcnamaraRobertw berlinerEricj velazquezHarlanm krumholzEvangelosk oikonomouThomas gillNorrisa haynesAmerican college of cardiology scientific sessionsAortic stenosis development and progressionCardiovascular data science cards labMultimodality video based

AI biomarker identifies aortic stenosis development, progression

AI biomarker identifies aortic stenosis development, progression
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Shania kennedyEvangelosk oikonomouRohan kheraPennsylvania state universitySinai medical centerCards labDuke university school of medicineYale school of medicineCardiovascular data science cards lab at yaleYale new haven health systemGetty imagesYale schoolCedars sinai medical centerCardiovascular data scienceAccurately predicts right side heartDuke university school

Patients With Cardiovascular Disease Less Likely to Use Wearable Devices to Track Health Status

A recent study in JAMA Network Open found that fewer than 1 in 4 people with or at risk for cardiovascular disease (CVD) use wearable devices, and only half of

Arash aghajani nargesiF perry wilsonRohan kheraHarlanm krumholzEvangelosk oikonomouLovedeeps dhingraArya aminorroayaYale school of medicineHealth information national trends surveyCardiovascular data science cards labYale schoolCardiovascular data science

A machine learning-guided approach for personalized blood pressure management

Researchers have developed a tool to personalize the consideration for pursuing intensive versus standard blood pressure treatment goals.

Yale ericas spatzRohan kheraEvangelosk oikonomouMarca suchardUniversity of california los angelesYale school of medicineLancet digital healthCardiovascular data science cards labDoris duke charitable foundationNational heartLancet digitalYale schoolCardiovascular data scienceSystolic blood pressure intervention trialControl cardiovascular riskDiabetes blood pressure