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