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)
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
Impact of COVID-19 non-pharmaceutical interventions on bacterial infections in children: an international electronic health record-based study.
Authors: Zachariasse JM, Gutiérrez-Sacristán A, Makwana S, Li X, Bhatnagar S, Hanauer DA, Kainth MK, Morris M, Rubio-Mayo P, Sáez C, Shah MA, Aronow BJ, Badenes R, Cai T, Garcia Barrio N, Issitt RW, Mandl KD, Milani GP, Moshal K, Newburger JW, Omenn GS, Romero-Garcia N, Sperotto F, Spiridou A, Visweswaran S, Xia Z, Bourgeois FT, Avillach P.
BMJ Public Health
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BMJ Public Health
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Semi-supervised Triply Robust Inductive Transfer Learning.
Risk of Incident Heart Failure and Heart Failure Subtypes in Patients With Rheumatoid Arthritis.
Authors: Kawano Y, Weber BN, Weisenfeld D, Jeffway MI, Cai T, McDermott GC, Liu Q, Sparks JA, Stuart J, Joseph J, Cai T, Liao KP.
Arthritis Care Res (Hoboken)
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Arthritis Care Res (Hoboken)
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Artificial intelligence as an assistant for studying treatment response in rheumatoid arthritis.
Family history as the strongest predictor of aortic and peripheral aneurysms in patients with intracranial aneurysms.
Authors: Lai PMR, Akama-Garren E, Can A, Tirado SR, Castro VM, Dligach D, Finan S, Gainer VS, Shadick NA, Savova G, Murphy SN, Cai T, Weiss ST, Du R.
J Clin Neurosci
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J Clin Neurosci
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Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.
Authors: Nogues IE, Wen J, Zhao Y, Bonzel CL, Castro VM, Lin Y, Xu S, Hou J, Cai T.
J Biomed Inform
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J Biomed Inform
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Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapy.
Authors: Wang X, Liu M, Nogues IE, Chen T, Xiong X, Bonzel CL, Zhang H, Hong C, Xia Y, Dahal K, Costa L, Cui J, Gaziano JM, Kim SC, Ho YL, Cho K, Cai T, Liao KP.
Sci Rep
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Sci Rep
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Semisupervised transfer learning for evaluation of model classification performance.
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.
Authors: Wen J, Hou J, Bonzel CL, Zhao Y, Castro VM, Gainer VS, Weisenfeld D, Cai T, Ho YL, Panickan VA, Costa L, Hong C, Gaziano JM, Liao KP, Lu J, Cho K, Cai T.
Patterns (N Y)
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Patterns (N Y)
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Federated Offline Reinforcement Learning.
Authors: Zhou D, Zhang Y, Sonabend-W A, Wang Z, Lu J, Cai T.
J Am Stat Assoc
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J Am Stat Assoc
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