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Activity Number: 553 - Improving Patient Care Through Personalized/Stratified Medicine: Modern Data Science and Perspectives from Pharmaceutical Industry Leads and Regulatory
Type: Invited
Date/Time: Thursday, August 6, 2020 : 3:00 PM to 4:50 PM
Sponsor: Biopharmaceutical Section
Abstract #309179
Title: Machine Learning, AI and Personalized Intervention
Author(s): Haoda Fu*
Companies: Eli Lilly and Company
Keywords: Machine Learning; Artificial Intelligence; Precision Health; Precision Medicine; Personalized Medicine; Mobile Health

This talk will provide an overview of statistical machine learning, and artificial intelligence techniques with applications to the precision medicine, in particular to deriving optimal individualized treatment strategies for individualized treatment intervention. It will cover both treatment selection and treatment transition. The treatment selection framework is based on outcome weighted classification. The treatment transition is utilizing the reinforcement learning algorithms. We will also provide examples and how these methods can impact on mobile health.

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

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