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J. Michael Gaziano
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Journal Articles

A deep learning model to dynamically predict cancer-associated thrombosis using electronic health records from the u.s. veterans affairs healthcare system

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Tianshe He, Chunlei Zheng, Jennifer La, Omid Jafari, Jamie Strampe, Karlynn Dulberger, Jaime Ramos-Cejudo, J. Michael Gaziano, Nhan Do, Vipul Chitalia, Katya Ravid, Ang Li, Nathanael Fillmore
Journal: Blood
Blood (2025) 146 (Supplement 1): 392.
https://doi.org/10.1182/blood-2025-392
Published: 2025
Journal Articles

Venous Thromboembolism Risk in Cancer Patients Receiving First-Line Immune Checkpoint Inhibitor Vs. Chemotherapy

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Sarah B May, Jennifer La, Emily Milner, Nimrah Riaz, Christopher I Amos, David A. Garcia, Marc Carrier, Neil Zakai, Nhan V Do, Mary Brophy, Vipul Chitalia, J. Michael Gaziano, Nathanael Fillmore, Ang Li
Journal: Blood
Blood (2022) 140 (Supplement 1): 7968–7970.
https://doi.org/10.1182/blood-2022-162658
Published: 2022
Journal Articles

Derivation and External Validation of Clinical Risk Assessment Model for Cancer Associated Thrombosis in Two Unique U.S. Healthcare Systems

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Ang Li, Jennifer La, Sarah B May, Danielle Guffey, Wilson L Da Costa, Jr., Christopher I Amos, Emily Milner, Raka Bandyo, Carolina Granada, Nimrah Riaz, Nhan V Do, Mary Brophy, Vipul Chitalia, J. Michael Gaziano, David A. Garcia, Marc Carrier, Christopher R. Flowers, Neil Zakai, Nathanael Fillmore
Journal: Blood
Blood (2022) 140 (Supplement 1): 5637–5639.
https://doi.org/10.1182/blood-2022-160017
Published: 2022