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Frederick Howard is an Assistant Professor in the Department of Medicine at the University of Chicago. His research focuses on the application of artificial intelligence and machine learning to oncological challenges, particularly in understanding the histopathologic landscape of head and neck squamous cell carcinomas and the dynamics of treatment in breast cancer. He has contributed significantly to randomized trials exploring novel therapeutic approaches for triple-negative breast cancer and the evaluation of adverse effects related to various treatment regimens. His recent publications include studies on the effectiveness of neoadjuvant chemotherapy in predicting outcomes for breast cancer patients and the implications of using machine learning algorithms to enhance cancer diagnosis and treatment. Frederick has been active in researching the disparities in the application of immunotherapy for breast cancer and is involved in developing quantitative biomarkers to better serve patients in the precision-medicine era.
Department of Philosophy