Abstract Details
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Activity Number:
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103
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Type:
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Invited
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Date/Time:
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Monday, August 5, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #307245 |
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Title:
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Personalized Medicine and Statistical Learning
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Author(s):
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Michael R. Kosorok*+
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Companies:
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The University of North Carolina-Chapel Hill
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Keywords:
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dynamic treatment regime ;
personalized medicine ;
clinical trial ;
machine learning ;
statistical learning ;
reinforcement learning
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Abstract:
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Personalized medicine is an important and active area of clinical research involving high dimensional data. In this talk, we describe some recent design and methodological developments in clinical trials for discovery and evaluation of personalized medicine. Statistical learning tools from artificial intelligence, including machine learning, reinforcement learning and several newer learning methods, are beginning to play increasingly important roles in these areas. We present illustrative examples in treatment of depression and cancer. The new approaches have significant potential to improve health and well being.
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Authors who are presenting talks have a * after their name.
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