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 ICD10 and secular changes on electronic medical record rheumatoid arthritis algorithms.
Authors: Huang S, Huang J, Cai T, Dahal KP, Cagan A, He Z, Stratton J, Gorelik I, Hong C, Cai T, Liao KP.
Rheumatology (Oxford)
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Rheumatology (Oxford)
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Safety and Efficacy of Tumor Necrosis Factor Antagonists in Older Patients With Ulcerative Colitis: Patient-Level Pooled Analysis of Data From Randomized Trials.
Authors: Cheng D, Cushing KC, Cai T, Ananthakrishnan AN.
Clin Gastroenterol Hepatol
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Clin Gastroenterol Hepatol
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Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.
Authors: Zhao SS, Hong C, Cai T, Xu C, Huang J, Ermann J, Goodson NJ, Solomon DH, Cai T, Liao KP.
Rheumatology (Oxford)
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Rheumatology (Oxford)
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High density lipoprotein and its apolipoprotein-defined subspecies and risk of dementia.
Authors: Koch M, DeKosky ST, Goodman M, Sun J, Furtado JD, Fitzpatrick AL, Mackey RH, Cai T, Lopez OL, Kuller LH, Mukamal KJ, Jensen MK.
J Lipid Res
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J Lipid Res
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Model-free approach to quantifying the proportion of treatment effect explained by a surrogate marker.
Plasma CD36 and Incident Diabetes: A Case-Cohort Study in Danish Men and Women.
Authors: Wang Y, Zhu J, Aroner S, Overvad K, Cai T, Yang M, Tjønneland A, Handberg A, Jensen MK.
Diabetes Metab J
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Diabetes Metab J
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Classifying Pseudogout using Machine Learning Approaches with Electronic Health Record Data.
Authors: Tedeschi SK, Cai T, He Z, Ahuja Y, Hong C, Yates KA, Dahal K, Xu C, Lyu H, Yoshida K, Solomon DH, Cai T, Liao KP.
Arthritis Care Res (Hoboken)
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Arthritis Care Res (Hoboken)
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Integrating questionnaire measures for transdiagnostic psychiatric phenotyping using word2vec.
Authors: Sonabend W A, Pellegrini AM, Chan S, Brown HE, Rosenquist JN, Vuijk PJ, Doyle AE, Perlis RH, Cai T.
PLoS One
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PLoS One
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Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.
Authors: Beam AL, Kompa B, Schmaltz A, Fried I, Weber G, Palmer N, Shi X, Cai T, Kohane IS.
Pac Symp Biocomput
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Pac Symp Biocomput
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International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
Authors: Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS.
NPJ Digit Med
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NPJ Digit Med
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