Tianx Cai
Tianxi Cai, ScD
John Rock Professor of Population and Translational Data Sciences, Harvard T.H. Chan School of Public Health
Director, Translational Data Science Center for a Learning Health System (CELEHS)
10 Shattuck Street, Room 434, Boston, MA 02115

Tianxi Cai is a major player in developing analytical tools for mining EHR data and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded Undiagnosed Diseases Network at DBMI. Cai's research lab develops novel statistical and machine learning methods for several areas including clinical trials, real world evidence, and personalized medicine using genomic and phenomic data. Cai received her ScD in Biostatistics at Harvard and was an assistant professor at the University of Washington before returning to Harvard as a faculty member in 2002.


DBMI Research Areas
Geometric variations associated with posterior communicating artery aneurysms.
Authors: Zhang J, Can A, Lai PMR, Mukundan S, Castro VM, Dligach D, Finan S, Gainer V, Shadick N, Savova G, Murphy SN, Cai T, Weiss ST, Du R.
J Neurointerv Surg
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Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
Authors: Hong C, Rush E, Liu M, Zhou D, Sun J, Sonabend A, Castro VM, Schubert P, Panickan VA, Cai T, Costa L, He Z, Link N, Hauser R, Gaziano JM, Murphy SN, Ostrouchov G, Ho YL, Begoli E, Lu J, Cho K, Liao KP, Cai T.
NPJ Digit Med
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Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19.
Authors: Le TT, Gutiérrez-Sacristán A, Son J, Hong C, South AM, Beaulieu-Jones BK, Loh NHW, Luo Y, Morris M, Ngiam KY, Patel LP, Samayamuthu MJ, Schriver E, Tan ALM, Moore J, Cai T, Omenn GS, Avillach P, Kohane IS, Visweswaran S, Mowery DL, Xia Z.
Sci Rep
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International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.
Authors: Weber GM, Zhang HG, L'Yi S, Bonzel CL, Hong C, Avillach P, Gutiérrez-Sacristán A, Palmer NP, Tan ALM, Wang X, Yuan W, Gehlenborg N, Alloni A, Amendola DF, Bellasi A, Bellazzi R, Beraghi M, Bucalo M, Chiovato L, Cho K, Dagliati A, Estiri H, Follett RW, García Barrio N, Hanauer DA, Henderson DW, Ho YL, Holmes JH, Hutch MR, Kavuluru R, Kirchoff K, Klann JG, Krishnamurthy AK, Le TT, Liu M, Loh NHW, Lozano-Zahonero S, Luo Y, Maidlow S, Makoudjou A, Malovini A, Martins MR, Moal B, Morris M, Mowery DL, Murphy SN, Neuraz A, Ngiam KY, Okoshi MP, Omenn GS, Patel LP, Pedrera Jiménez M, Prudente RA, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano Balazote P, Tan BW, Tanni SE, Tibollo V, Visweswaran S, Wagholikar KB, Xia Z, Zöller D, Kohane IS, Cai T, South AM, Brat GA.
J Med Internet Res
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The Association Between Inflammation, Incident Heart Failure, and Heart Failure Subtypes in Patients with Rheumatoid Arthritis.
Authors: Huang S, Cai T, Weber BN, He Z, Dahal KP, Hong C, Hou J, Seyok T, Cagan A, DiCarli MF, Joseph J, Kim SC, Solomon DH, Cai T, Liao KP.
Arthritis Care Res (Hoboken)
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ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.
Authors: Zhang HG, Hejblum BP, Weber GM, Palmer NP, Churchill SE, Szolovits P, Murphy SN, Liao KP, Kohane IS, Cai T.
J Am Med Inform Assoc
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Quantifying the feasibility of shortening clinical trial duration using surrogate markers.
Authors: Wang X, Cai T, Tian L, Bourgeois F, Parast L.
Stat Med
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Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening.
Authors: Cai T, Cai F, Dahal KP, Cremone G, Lam E, Golnik C, Seyok T, Hong C, Cai T, Liao KP.
ACR Open Rheumatol
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Biomarker evaluation under imperfect nested case-control design.
Authors: Wang X, Zheng Y, Jensen MK, He Z, Cai T.
Stat Med
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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
Authors: Yuan Q, Cai T, Hong C, Du M, Johnson BE, Lanuti M, Cai T, Christiani DC.
JAMA Netw Open
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