Arjun Manrai

Arjun (Raj) Manrai, PhD

Assistant Professor of Biomedical Informatics, Harvard Medical School
Deputy Editor, NEJM AI

10 Shattuck Street #304, Boston, MA, 02115

Arjun (Raj) Manrai, PhD is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School, where he leads a research lab that works broadly on applying machine learning and statistical modeling to improve medical decision-making. Raj is also a founding Deputy Editor of NEJM AI, the new artificial intelligence-focused journal from the publishers of the New England Journal of Medicine, and co-host of the NEJM AI Grand Rounds podcast.

Focus areas for Raj’s research group include the role of artificial intelligence in medical diagnosis, the clinical use of genomic data and blood laboratory biomarkers, inherited heart disease and kidney disease, decision making across populations, and reproducibility and safety challenges for medical artificial intelligence. His work has been published in the New England Journal of Medicine and JAMA, presented at the National Academy of Sciences, and featured in the New York Times, Wall Street Journal, and NPR.

Raj is also closely involved in the mentoring of students at Harvard College, having served for over a decade as a Resident Tutor and now member of the Senior Common Room of Leverett House. Students from the lab have won the Rhodes, PD Soros, and other awards to continue their training and research in machine learning and medicine.

Raj earned an AB in Physics from Harvard College followed by a PhD in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology (HST).

He resides in the Boston area and outside work he can usually be found losing home dance competitions to his 2 young daughters.

DBMI Research Areas
DBMI Courses
Projected Changes in Statin and Antihypertensive Therapy Eligibility With the AHA PREVENT Cardiovascular Risk Equations.
Authors: Diao JA, Shi I, Murthy VL, Buckley TA, Patel CJ, Pierson E, Yeh RW, Kazi DS, Wadhera RK, Manrai AK.
JAMA
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Implications of Race Adjustment in Lung-Function Equations.
Authors: Diao JA, He Y, Khazanchi R, Nguemeni Tiako MJ, Witonsky JI, Pierson E, Rajpurkar P, Elhawary JR, Melas-Kyriazi L, Yen A, Martin AR, Levy S, Patel CJ, Farhat M, Borrell LN, Cho MH, Silverman EK, Burchard EG, Manrai AK.
N Engl J Med
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Medical Artificial Intelligence and Human Values.
Authors: Yu KH, Healey E, Leong TY, Kohane IS, Manrai AK.
N Engl J Med
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Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort.
Authors: Kong SW, Lee IH, Collen LV, Manrai AK, Snapper SB, Mandl KD.
medRxiv
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Heterogeneity in elevated glucose and A1C as predictors of the prediabetes to diabetes transition: Framingham Heart Study, Multi-Ethnic Study on Atherosclerosis, Jackson Heart Study, and Atherosclerosis Risk In Communities.
Authors: Patel CJ, Ioannidis JP, Gregg EW, Vasan RS, Manrai AK.
medRxiv
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To do no harm - and the most good - with AI in health care.
Authors: Goldberg CB, Adams L, Blumenthal D, Brennan PF, Brown N, Butte AJ, Cheatham M, deBronkart D, Dixon J, Drazen J, Evans BJ, Hoffman SM, Holmes C, Lee P, Manrai AK, Omenn GS, Perlin JB, Ramoni R, Sapiro G, Sarkar R, Sood H, Vayena E, Kohane IS.
Nat Med
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Assessing the genetic contribution of cumulative behavioral factors associated with longitudinal type 2 diabetes risk highlights adiposity and the brain-metabolic axis.
Authors: Carvalho NRG, He Y, Smadbeck P, Flannick J, Mercader JM, Udler M, Manrai AK, Moreno J, Patel CJ.
medRxiv
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Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs).
Authors: Chung MK, House JS, Akhtari FS, Makris KC, Langston MA, Islam KT, Holmes P, Chadeau-Hyam M, Smirnov AI, Du X, Thessen AE, Cui Y, Zhang K, Manrai AK, Motsinger-Reif A, Patel CJ.
Exposome
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Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors.
Authors: He Y, Qian DC, Diao JA, Cho MH, Silverman EK, Gusev A, Manrai AK, Martin AR, Patel CJ.
Nat Commun
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Artificial Intelligence vs Clinician Performance in Estimating Probabilities of Diagnoses Before and After Testing.
Authors: Rodman A, Buckley TA, Manrai AK, Morgan DJ.
JAMA Netw Open
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