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.
Upcoming Events
Messsage from NIMH:
The IMPACT-MH initiative aims to revolutionize precision medicine in psychiatry. This consortium seeks to enhance mental health care by integrating new data, such as performance on computerized behavioral tasks, with traditional clinical information. By focusing first on cost-effective and scalable behavioral measures that provide insights into individual brain functions, the initiative aims to improve predictions about treatment responses and outcomes, ultimately advancing the future of precision psychiatry.
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IMPACT-MH Projects
