Chirag Patel, PhD
Chirag Patel, PhD
Associate Professor of Biomedical Informatics, Harvard Medical School
10 Shattuck Street, Boston, MA 02115

Chirag Patel's long-term research goal is to address problems in human health and disease by developing computational and bioinformatics methods to reproducibly and efficiently reason over high-throughput data streams spanning molecules to populations. Patel's group aims to dissect inter-individual differences in human phenomes through strategies that integrate data sources that capture the comprehensive clinical experience (e.g., through the electronic medical record), the complex phenomena of environmental exposure (e.g., high-throughput measures of the exposome), and inherited genomic variation. He received his doctorate in biomedical informatics from Stanford University.

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Harvard Health Blog

Your risk of dementia: Do lifestyle and genetics matter? (September 13, 2019)

Integrated molecular response of exposure to traffic-related pollutants in the US trucking industry.
Authors: Walker DI, Hart JE, Patel CJ, Rudel R, Chu JH, Garshick E, Pennell KD, Laden F, Jones DP.
Environ Int
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Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials.
Authors: Siontis GCM, Sweda R, Noseworthy PA, Friedman PA, Siontis KC, Patel CJ.
BMJ Health Care Inform
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Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology.
Authors: Tierney BT, Szymanski E, Henriksen JR, Kostic AD, Patel CJ.
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Characterising the relationships between physiological indicators and all-cause mortality (NHANES): a population-based cohort study.
Authors: Nguyen VK, Colacino J, Chung MK, Goallec AL, Jolliet O, Patel CJ.
Lancet Healthy Longev
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Evolving phenotypes of non-hospitalized patients that indicate long COVID.
Authors: Estiri H, Strasser ZH, Brat GA, Semenov YR, Patel CJ, Murphy SN.
View full abstract on Pubmed
Clinical laboratory tests associated with survival in patients with metastatic renal cell carcinoma: A Laboratory Wide Association Study (LWAS).
Authors: Velaer K, Thomas IC, Yang J, Kapphahn K, Metzner TJ, Golla A, Hoerner CR, Fan AC, Master V, Chertow GM, Brooks JD, Patel CJ, Desai M, Leppert JT.
Urol Oncol
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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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Utilizing a Biology-Driven Approach to Map the Exposome in Health and Disease: An Essential Investment to Drive the Next Generation of Environmental Discovery.
Authors: Chung MK, Rappaport SM, Wheelock CE, Nguyen VK, van der Meer TP, Miller GW, Vermeulen R, Patel CJ.
Environ Health Perspect
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Diverse experts' perspectives on ethical issues of using machine learning to predict HIV/AIDS risk in sub-Saharan Africa: a modified Delphi study.
Authors: Nichol AA, Bendavid E, Mutenherwa F, Patel C, Cho MK.
BMJ Open
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Evolving Phenotypes of non-hospitalized Patients that Indicate Long Covid.
Authors: Estiri H, Strasser ZH, Brat GA, Semenov YR, Patel CJ, Murphy SN.
View full abstract on Pubmed