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Clinical Science Brown Bag Series

Tuesday, April 16, 2019,

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  • Location: Wilson Hall • 111 21St Ave S • Nashville, TN 37240
  • Room: 316

Zachary Cohen, PhD

Postdoctoral Fellow

University of California, Los Angeles

"Treatment Selection: Predictive Modeling to Help Understand What Works for Whom"

 Mental health researchers and clinicians have long sought answers to the question “What works for whom?” The goal of precision medicine is to provide evidence-based answers to this question. Treatment selection aims to help each individual receive the treatment, among the available options, that is most likely to lead to a positive outcome for them. Although patient variables that are predictive of response to treatment have been identified, the field has struggled to translate this knowledge into real-world treatment recommendations. In the context of stepped-care, stratified medicine aims to ensure that individuals receive the appropriate level of care, and to maximize the efficiency of a healthcare system’s resource allocation. The increasing use of digital interventions for mental health presents an opportunity to learn how psychotherapies work, and to create treatments with data-driven personalization. We will review recent findings from these different areas, and discuss ongoing efforts to integrate these three different lines of research into a unified treatment system.