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Hallman, Mitchell, Adam Driscoll, Ryan Lubbe, and . 2020. “Lorem Ipsum Dolor Sit Amet, Consectetur Adipiscing Elit, Sed Do Eiusmod Tempor Incididunt Ut Labore et Dolore Magna Aliqua.”

Fames, Pulvinar, Hasellus Dignissim, Imperdiet Sociosqu, and Dictum Gravida. 2020. “Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas”. Journal of Iaculis Nisl Facilisis Malesuada Maecenas.

Fames, Pulvinar, Hasellus Dignissim, Imperdiet Sociosqu, and Dictum Gravida. 2019. “Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas”. Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas.

Wieder, Nicolas, Juliana Coraor Fried, Choah Kim, Eriene-Heidi Sidhom, Matthew R Brown, Jamie L Marshall, Carlos Arevalo, et al. 2023. “FALCON Systematically Interrogates Free Fatty Acid Biology and Identifies a Novel Mediator of Lipotoxicity.”. Cell Metabolism 35 (5): 887-905.e11.

Fames, Pulvinar, Hasellus Dignissim, Imperdiet Sociosqu, and Dictum Gravida. 2019. “Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas”. Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas.

Fames, Pulvinar, Hasellus Dignissim, Imperdiet Sociosqu, and Dictum Gravida. 2019. “Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas”. Mauris Felis ante Montes Rhoncus Semper, Iaculis Nisl Facilisis Malesuada Maecenas.

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.

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.”

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.

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.