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Abstract

Identifying the right dose is one the most important decisions in drug development. Significant evidence has recently become available that emphasizes the role of patient covariates in optimal dose, i.e., a dose that is optimal for a patient group may be harmful for others. A key step towards personalized (precision) medicine is our ability to design efficient and fair clinical trials to investigate the optimal dose for each patient type. However, current methods do not consider patient covariates in optimal design of dose-finding clinical trials. In this talk we discuss the challenges that are involved in extending the standard methods for designing adaptive dose-finding clinical trials and how we can address them.

Speaker Bio

Amin Khademi is an associate professor of industrial engineering at Clemson University. His research interest lies in the intersection of operations research and health care. Specifically, he is interested in decision making problems under uncertainty in which uncertainty can be sequentially learned. He studies applications such as 1-adaptive design of clinical trials, 2- efficient and fair organ transplantation allocation rules, and 3- emergency medical services dispatching and routing.

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The Operations Research (OR) seminar series brings together graduate students, faculty and researchers from the University of Toronto community to interact with prominent scholars in the field of OR. Seminars feature visiting scholars from around the world as well as professors and post-docs. Topics include all variants of OR theory and their applications. Questions? Contact Merve Bodur at bodur@mie.utoronto.ca