Cotransmission of acetylcholine and GABA.
Granger, Adam J, Nicole Mulder, Arpiar Saunders, and Bernardo L Sabatini. 2016. “Cotransmission of Acetylcholine and GABA.”. Neuropharmacology 100: 40-6.
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Copper induces cell death by targeting lipoylated TCA cycle proteins
Tsvetkov, Peter, Shannon Coy, Boryana Petrova, Margaret Dreishpoon, Ana Verma, Mai Abdusamad, Jordan Rossen, et al. 2022. “Copper Induces Cell Death by Targeting Lipoylated TCA Cycle Proteins”. Science 375 (6586): 1254-61.
Genetics of Myocardial Interstitial Fibrosis in the Human Heart and Association with Disease
Nauffal, Victor, Paolo Di Achille, Marcus. D. R. Klarqvist, Jonathan W. Cunningham, James P. Pirruccello, Lu-Chen Weng, Valerie N. Morrill, et al. 2021. “Genetics of Myocardial Interstitial Fibrosis in the Human Heart and Association With Disease.”
Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project
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.
Estimating body fat distribution - a driver of cardiometabolic health - from silhouette images
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
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
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
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
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.
Massively parallel enrichment of low-frequency alleles enables duplex sequencing at low depth
Gydush, Gregory, Erica Nguyen, Jin H Bae, Timothy Blewett, Justin Rhoades, Sarah C Reed, Douglas Shea, et al. 2022. “Massively Parallel Enrichment of Low-Frequency Alleles Enables Duplex Sequencing at Low Depth”. Nat Biomed Eng 6 (3): 257-66.