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
Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study.
Authors: Yang D, Zhou D, Cai S, Gan Z, Pencina M, Avillach P, Cai T, Hong C.
JMIR Med Inform
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DOME: Directional medical embedding vectors from Electronic Health Records.
Authors: Wen J, Xue H, Rush E, Panickan VA, Cai T, Zhou D, Ho YL, Costa L, Begoli E, Hong C, Gaziano JM, Cho K, Liao KP, Lu J, Cai T.
J Biomed Inform
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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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Artificial intelligence as an assistant for studying treatment response in rheumatoid arthritis.
Authors: Liao KP, Cai T.
Semin Arthritis Rheum
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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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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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Semisupervised transfer learning for evaluation of model classification performance.
Authors: Wang L, Wang X, Liao KP, Cai T.
Biometrics
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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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Endovascular Aneurysm Repair Devices as a Use Case for Postmarketing Surveillance of Medical Devices.
Authors: Wang X, Ayakulangara Panickan V, Cai T, Xiong X, Cho K, Cai T, Bourgeois FT.
JAMA Intern Med
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Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium.
Authors: Sperotto F, Gutiérrez-Sacristán A, Makwana S, Li X, Rofeberg VN, Cai T, Bourgeois FT, Omenn GS, Hanauer DA, Sáez C, Bonzel CL, Bucholz E, Dionne A, Elias MD, García-Barrio N, González TG, Issitt RW, Kernan KF, Laird-Gion J, Maidlow SE, Mandl KD, Ahooyi TM, Moraleda C, Morris M, Moshal KL, Pedrera-Jiménez M, Shah MA, South AM, Spiridou A, Taylor DM, Verdy G, Visweswaran S, Wang X, Xia Z, Zachariasse JM, Newburger JW, Avillach P.
EClinicalMedicine
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