Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH)
IMPACT-MH uses behavioral measures and computational methods to define novel clinical signatures that can be used for individual-level prediction and clinical decision making in mental disorders.
About IMPACT-MH
The Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) consortium was established with a goal to harness the power of big data to address the complexity and heterogeneity of mental disorders, ultimately improving patient care and outcomes. The consortium includes eight U01 and five UF1 awardees known as Research Partners from thirteen institutions across the country, and a U24 awardee located at Yale University, New Haven, CT.
The IMPACT-MH Data Coordination Center (DCC) is a partnership between Yale University, Mayo Clinic, University of Pennsylvania, and NIH/NIMH to bring together informaticians, data scientists, and mental health specialists to facilitate data collection, harmonization, and curation to improve health outcomes.
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