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Activity Number: 399 - Recent Developments in Precision Medicine
Type: Topic Contributed
Date/Time: Wednesday, August 5, 2020 : 1:00 PM to 2:50 PM
Sponsor: Biopharmaceutical Section
Abstract #312509
Title: Individualized Treatment Regimes Incorporating Imaging Features
Author(s): Xinyi Li* and Michael R. Kosorok
Companies: SAMSI / University of North Carolina at Chapel Hill and University of North Carolina at Chapel Hill
Keywords: precision medicine; functional data; bivariate spline; imaging data; treatment regime

Precision medicine seeks to discover an optimal personalized treatment plan and thereby provide informed and principled decision support, based on the characteristics of individual patients. With recent advancements in medical imagings, it is crucial to incorporate patient-specific imaging features in the study of individualized treatment regimes. We propose a novel, data-driven method to construct interpretable image features which can be incorporated, along with other features, to guide optimal treatment regimes. The proposed method treats imaging information as a realization of a stochastic process, and employs smoothing techniques in estimation. We show that the proposed estimators are consistent under mild conditions. The proposed method is applied to a dataset provided by the Alzheimer's Disease Neuroimaging Initiative.

Authors who are presenting talks have a * after their name.

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