Chirag Patel, PhD
Associate Professor of Biomedical Informatics
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.
DBMI Research Areas
DBMI Courses
- BMI 704 - Data Science I: Data Science for Medical Decision Making
- BMI 722 - Topics in Translational Biomedical Informatics
Career Opportunities
Identification of occupations susceptible to high exposure and risk associated with multiple toxicants in an observational study: National Health and Nutrition Examination Survey 1999-2014.
Authors: Nguyen VK, Colacino J, Patel CJ, Sartor M, Jolliet O.
Exposome
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Exposome
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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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Environ Int
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The demographic and socioeconomic correlates of behavior and HIV infection status across sub-Saharan Africa.
Authors: Patel CJ, Claypool KT, Chow E, Chung MK, Mai D, Chen J, Bendavid E.
Commun Med (Lond)
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Commun Med (Lond)
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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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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.
mSystems
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mSystems
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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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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.
BMC Med
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BMC Med
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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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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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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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Environ Health Perspect
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