Tianx Cai

Tianxi Cai, ScD

Professor of Biomedical Informatics, Harvard Medical School
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

617-432-4923
CELEHS

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
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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A high-throughput phenotyping algorithm is portable from adult to pediatric populations.
Authors: Geva A, Liu M, Panickan VA, Avillach P, Cai T, Mandl KD.
J Am Med Inform Assoc
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International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries.
Authors: Bourgeois FT, Gutiérrez-Sacristán A, Keller MS, Liu M, Hong C, Bonzel CL, Tan ALM, Aronow BJ, Boeker M, Booth J, Cruz Rojo J, Devkota B, García Barrio N, Gehlenborg N, Geva A, Hanauer DA, Hutch MR, Issitt RW, Klann JG, Luo Y, Mandl KD, Mao C, Moal B, Moshal KL, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Patel LP, Jiménez MP, Sebire NJ, Balazote PS, Serret-Larmande A, South AM, Spiridou A, Taylor DM, Tippmann P, Visweswaran S, Weber GM, Kohane IS, Cai T, Avillach P.
JAMA Netw Open
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Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism.
Authors: Chepelev LL, Wang X, Gold B, Bonzel CL, Rybicki F, Uyeda JW, Sheikh A, Anderson D, Lindaman J, Mogel G, Mitsouras D, Mahoney MC, Cai T, Rybicki FJ.
J Digit Imaging
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Leveraging electronic health records data to predict multiple sclerosis disease activity.
Authors: Ahuja Y, Kim N, Liang L, Cai T, Dahal K, Seyok T, Lin C, Finan S, Liao K, Savovoa G, Chitnis T, Cai T, Xia Z.
Ann Clin Transl Neurol
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Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints.
Authors: Liu M, Xia Y, Cho K, Cai T.
J Mach Learn Res
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What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Authors: Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T.
J Med Internet Res
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Tobacco use and age are associated with different morphologic features of anterior communicating artery aneurysms.
Authors: Zhang J, Lai PMR, Can A, Mukundan S, Castro VM, Dligach D, Finan S, Gainer VS, Shadick NA, Savova G, Murphy SN, Cai T, Weiss ST, Du R.
Sci Rep
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