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Estimating body fat distribution - a driver of cardiometabolic health - from silhouette images

Publication: Miscellaneous

Klarqvist, Marcus D.R., Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, and Amit V. Khera. 2022. “Estimating Body Fat Distribution - a Driver of Cardiometabolic Health - from Silhouette Images.”

Deep learning enables genetic analysis of the human thoracic aorta

Publication: Journal Article

Pirruccello, James P., Mark D. Chaffin, Elizabeth L. Chou, Stephen J. Fleming, Honghuang Lin, Mahan Nekoui, Shaan Khurshid, et al. 2022. “Deep Learning Enables Genetic Analysis of the Human Thoracic Aorta”. Nature Genetics 54 (1): 40-51.

Characterizing and Quantifying Performance Heterogeneity in Cardiovascular Risk Prediction Models — A Step Towards Improved Disease Risk Assessment

Publication: Miscellaneous

Kartoun, Uri, Shaan Khurshid, Bum Chul Kwon, Aniruddh Patel, Puneet Batra, Anthony Philippakis, Amit Khera, Patrick Ellinor, Steve Lubitz, and Kenney Ng. 2021. “Characterizing and Quantifying Performance Heterogeneity in Cardiovascular Risk Prediction Models — A Step Towards Improved Disease Risk Assessment.”

Deep learning to estimate cardiac magnetic resonance–derived left ventricular mass

Publication: Journal Article

Khurshid, Shaan, Samuel Freesun Friedman, James P. Pirruccello, Paolo Di Achille, Nathaniel Diamant, Christopher D. Anderson, Patrick T. Ellinor, et al. 2021. “Deep Learning to Estimate Cardiac Magnetic Resonance–derived Left Ventricular Mass”. Cardiovascular Digital Health Journal 2 (2): 109-17.

Abstract 10587: Frequency and Outcomes of Bradyarrhythmias in the Community

Publication: Journal Article

Haimovich, Julian, Shaan Khurshid, Paolo Di Achille, Victor Nauffal, Pulkit Singh, Christopher Reeder, Lia Harrington, et al. 2021. “Abstract 10587: Frequency and Outcomes of Bradyarrhythmias in the Community”. Circulation 144 (Suppl\_1): A10587—A10587.

Marcus D. R. Klarqvist

Person:

text

Lei Cui, PhD

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...

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.