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32 results found

Machine learning enables new insights into genetic contributions to liver fat accumulation

Publication: Journal Article

Haas, Mary E., James P. Pirruccello, Samuel N. Friedman, Minxian Wang, Connor A. Emdin, Veeral H. Ajmera, Tracey G. Simon, et al. 2021. “Machine Learning Enables New Insights into Genetic Contributions to Liver Fat Accumulation”. Cell Genomics 1 (3): 100066.

A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram

Publication: Journal Article

Schlesinger, Daphne E., Nathaniel Diamant, Aniruddh Raghu, Erik Reinertsen, Katherine Young, Puneet Batra, Eugene Pomerantsev, and Collin M. Stultz. 2022. “A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram”. JACC: Advances 1 (1): 100003.

Sam Freesun Friedman

Person: Machine Learning Scientist

Sam is a Machine Learning Scientist in the Data Sciences platform at the Broad Institute. He received a BS in Electric Media and Obsolescence at Hunter College and a PhD in Computer Science at the Graduate Center at the City University of New York. His thesis presented algorithms for object...

Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project

Publication: Journal Article

Khurshid, Shaan, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, et al. 2021. “Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project”. MedRxiv, 2021.05.26.21257872.

Using Machine Learning to Elucidate the Spatial and Genetic Complexity of the Ascending Aorta

Publication: Miscellaneous

Nekoui, Mahan, James P. Pirruccello, Paolo Di Achille, Seung Hoan Choi, Samuel N. Friedman, Victor Nauffal, Kenney Ng, et al. 2021. “Using Machine Learning to Elucidate the Spatial and Genetic Complexity of the Ascending Aorta.”

Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction

Publication: Journal Article

Agrawal, Saaket, Marcus D.R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, and Amit V. Khera. 2021. “Selection of 51 Predictors from 13,782 Candidate Multimodal Features Using Machine Learning Improves Coronary Artery Disease Prediction”. Patterns, 100364.

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

Publication: Journal Article

Khurshid, Shaan, Samuel Friedman, Christopher Reeder, Paolo Di Achille, Nathaniel Diamant, Pulkit Singh, Lia X. Harrington, et al. 2022. “ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation”. Circulation 145 (2): 122-33.

Abstract 15044: Risk of Myocardial Infarction in Carriers of Familial Hypercholesterolemia Mutations is Modified by Common Variant Genetic Background or Adherence to a Healthy Lifestyle

Publication: Journal Article

Fahed, Akl C, Minxian Wang, Mark Chaffin, Alexander G Bick, Candace Patterson, Pradeep Natarajan, Matthew Lebo, et al. 2019. “Abstract 15044: Risk of Myocardial Infarction in Carriers of Familial Hypercholesterolemia Mutations Is Modified by Common Variant Genetic Background or Adherence to a Healthy Lifestyle”. Circulation 140 (Suppl\_1): A15044—A15044.

Association of machine learning-derived measures of body fat distribution in >40,000 individuals with cardiometabolic diseases

Publication: Journal Article

Agrawal, Saaket, Marcus D. R. Klarqvist, Nathaniel Diamant, Patrick T. Ellinor, Nehal N. Mehta, Anthony Philippakis, Kenney Ng, Puneet Batra, and Amit V. Khera. 2021. “Association of Machine Learning-Derived Measures of Body Fat Distribution in >40,000 Individuals With Cardiometabolic Diseases”. MedRxiv, 2021.05.07.21256854.

Lei Cui, Ph.D.

Person: Postdoctoral Associate

Lei is a postdoctoral researcher in the Pan Group at the Stanley Center for Psychiatric Research. Lei received his PhD in Neuroscience under the doctoral program of "Molecular Physiology of the Brain" from University of Göttingen. During his graduate training under the mentorship of Dr. Oliver...