Samuel Friedman

14PUBLICATIONS

38CO-AUTHORS

Deep learningNeural networksCardiology (incl. cardiovascular diseases)Disease surveillanceGene expression (incl. microarray and other genome-wide approaches)

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Publications (14)

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|Jul 10, 2026

ECG-Based Deep Learning to Predict Incident Atrial Fibrillation Burden.

|Feb 23, 2026

Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure.

Shaan Khurshid, Samuel F Friedman, Shinwan Kany

|Feb 22, 2025

A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram.

Mostafa A Al-Alusi, Samuel F Friedman, Shinwan Kany

|Jan 11, 2025

Unsupervised deep learning of electrocardiograms enables scalable human disease profiling.

Sam F Friedman, Shaan Khurshid, Rachael A Venn

|Oct 07, 2024

Genetic Architectures of Medical Images Revealed by Registration of Multiple Modalities.

Sam Freesun Friedman, Gemma Elyse Moran, Marianne Rakic

|Sep 02, 2024

Rare Genetic Variants in LDLR, APOB, and PCSK9 Are Associated With Aortic Stenosis.

Joel T Rämö, Sean J Jurgens, Shinwan Kany

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Frequent Collaborators

10 joint publications

Patrick T Ellinor

Steven A Lubitz

Shaan Khurshid

Mahnaz Maddah

Anthony Philippakis

Jennifer E Ho

Puneet Batra

Seung Hoan Choi

James P Pirruccello

Paolo Di Achille

Frequent Collaborators

10 joint publications

Patrick T Ellinor

9 joint publications

Steven A Lubitz

7 joint publications

Shaan Khurshid

6 joint publications

Mahnaz Maddah