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Abstract 12922: Electrocardiogram-Based Deep Learning and Clinical Risk Factors to Predict Incident Atrial Fibrillation

Publication: Journal Article

Khurshid, Shaan, Samuel Friedman, Christopher Reeder, Paolo Di Achille, Nathaniel Diamant, Pulkit Singh, Lia Harrington, et al. 2021. “Abstract 12922: Electrocardiogram-Based Deep Learning and Clinical Risk Factors to Predict Incident Atrial Fibrillation”. Circulation 144 (Suppl\_1): A12922—A12922.

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Publication: Journal Article

Pirruccello, James P., Alexander Bick, Minxian Wang, Mark Chaffin, Samuel Friedman, Jie Yao, Xiuqing Guo, et al. 2020. “Analysis of Cardiac Magnetic Resonance Imaging in 36,000 Individuals Yields Genetic Insights into Dilated Cardiomyopathy”. Nature Communications 11 (1): 2254.

Paolo is a machine learning engineer working on cardiovascular disease prediction and genetic discovery via deep learning. Paolo holds a PhD (from Yale University) and a MS (from University of Pisa, Italy), both in Biomedical Engineering. His areas of expertise include computer vision...

Pulkit Singh

Person: Machine Learning Engineer

Saman Doroodgar Jorshery

Person: Visiting Scientist

The Richard N. Merkin Prize in Biomedical Technology

The Richard N. Merkin Prize in Biomedical Technology seeks to recognize innovators whose path-breaking technological developments are having a demonstrable impact on improving human health.

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