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
Publisher Correction: Scientific discovery in the age of artificial intelligence.
Authors: Wang H, Fu T, Du Y, Gao W, Huang K, Liu Z, Chandak P, Liu S, Van Katwyk P, Deac A, Anandkumar A, Bergen K, Gomes CP, Ho S, Kohli P, Lasenby J, Leskovec J, Liu TY, Manrai A, Marks D, Ramsundar B, Song L, Sun J, Tang J, Velickovic P, Welling M, Zhang L, Coley CW, Bengio Y, Zitnik M.
Nature
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Scientific discovery in the age of artificial intelligence.
Authors: Wang H, Fu T, Du Y, Gao W, Huang K, Liu Z, Chandak P, Liu S, Van Katwyk P, Deac A, Anandkumar A, Bergen K, Gomes CP, Ho S, Kohli P, Lasenby J, Leskovec J, Liu TY, Manrai A, Marks D, Ramsundar B, Song L, Sun J, Tang J, Velickovic P, Welling M, Zhang L, Coley CW, Bengio Y, Zitnik M.
Nature
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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.
medRxiv
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Artificial Intelligence in Medicine.
Authors: Beam AL, Drazen JM, Kohane IS, Leong TY, Manrai AK, Rubin EJ.
N Engl J Med
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National Projections for Clinical Implications of Race-Free Creatinine-Based GFR Estimating Equations.
Authors: Diao JA, Wu GJ, Wang JK, Kohane IS, Taylor HA, Tighiouart H, Levey AS, Inker LA, Powe NR, Manrai AK.
J Am Soc Nephrol
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Positive Predictive Value of the Thumb-Palm Test for General Population Screening of Ascending Aortic Aneurysm.
Authors: Diao JA, Wu GJ, Manrai AK.
Am J Cardiol
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Data Mining Approaches to Reference Interval Studies.
Authors: Obstfeld AE, Patel K, Boyd JC, Drees J, Holmes DT, Ioannidis JPA, Manrai AK.
Clin Chem
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Leveraging vibration of effects analysis for robust discovery in observational biomedical data science.
Authors: Tierney BT, Anderson E, Tan Y, Claypool K, Tangirala S, Kostic AD, Manrai AK, Patel CJ.
PLoS Biol
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Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.
Authors: Abràmoff MD, Cunningham B, Patel B, Eydelman MB, Leng T, Sakamoto T, Blodi B, Grenon SM, Wolf RM, Manrai AK, Ko JM, Chiang MF, Char D.
Ophthalmology
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Race-Free Equations for eGFR: Comparing Effects on CKD Classification.
Authors: Diao JA, Powe NR, Manrai AK.
J Am Soc Nephrol
View full abstract on Pubmed