Arjun Manrai
Arjun (Raj) Manrai, PhD
Assistant Professor in the Computational Health Informatics Program (CHIP), Boston Children's Hospital
Assistant Professor of Biomedical Informatics, Harvard Medical School (Secondary)

Arjun Manrai is an Assistant Professor in the Computational Health Informatics Program at Boston Children’s Hospital and the Department of Biomedical Informatics at Harvard Medical School. Manrai directs a research lab of machine learning scientists, clinicians, and biomedical data scientists working to improve medical decision making by developing computational approaches that incorporate rich and deep representations of clinical state and an individual's identity into care. Active projects include:

  1. Improving genetic variant classification with statistical and machine learning approaches, with a focus on inherited heart disease
  2. Disentangling demographic and clinical structure in blood laboratory biomarkers with a focus on kidney disease
  3. Developing semi and self-supervised learning approaches for both highly structured (e.g. imaging) and less structured (e.g. laboratory) data
  4. Modeling fundamental reproducibility and adoption challenges associated with the clinical deployment of artificial intelligence

At DBMI, Manrai is co-director of BMI 704: Data Science for Medical Decision Making, a mentor in DBMI’s Summer Institute in Biomedical Informatics (SIBMI), and a Capstone Oversight Mentor in the Master of Biomedical Informatics (MBI) program. Manrai is also a long-time mentor of undergraduates at Harvard College, having served for nearly a decade as Resident Tutor and now Faculty Associate at Leverett House.

Manrai received an A.B. in Physics with Highest Honors from Harvard and earned his Ph.D. in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology under Professor Isaac Kohane.

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.
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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
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Physicians, Probabilities, and Populations-Estimating the Likelihood of Disease for Common Clinical Scenarios.
Authors: Manrai AK.
JAMA Intern Med
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Removing Race From Kidney Function Estimates-Reply.
Authors: Diao JA, Powe NR, Manrai AK.
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Harmonizing the Collection of Clinical Data on Genetic Testing Requisition Forms to Enhance Variant Interpretation in Hypertrophic Cardiomyopathy (HCM): A Study from the ClinGen Cardiomyopathy Variant Curation Expert Panel.
Authors: Morales A, Ing A, Antolik C, Austin-Tse C, Baudhuin LM, Bronicki L, Cirino A, Hawley MH, Fietz M, Garcia J, Ho C, Ingles J, Jarinova O, Johnston T, Kelly MA, Kurtz CL, Lebo M, Macaya D, Mahanta L, Maleszewski J, Manrai AK, Murray M, Richard G, Semsarian C, Thomson KL, Winder T, Ware JS, Hershberger RE, Funke BH, Vatta M.
J Mol Diagn
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Comparisons of Polyexposure, Polygenic, and Clinical Risk Scores in Risk Prediction of Type 2 Diabetes.
Authors: He Y, Lakhani CM, Rasooly D, Manrai AK, Tzoulaki I, Patel CJ.
Diabetes Care
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Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010.
Authors: Pho N, Manrai AK, Leppert JT, Chertow GM, Ioannidis JPA, Patel CJ.
Clin Chem
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In Search of a Better Equation - Performance and Equity in Estimates of Kidney Function.
Authors: Diao JA, Inker LA, Levey AS, Tighiouart H, Powe NR, Manrai AK.
N Engl J Med
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