Project Grant R21MH137740

Award Date 4/1/25
Completion Date 3/31/27
Dollars Obligated $335K
Federal Grant Program
93.242
Assistance Type
Project Grant
Place of Performance
Massachusetts, USA
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This $480,834 Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants (CFDA 93.242) program supports research to leverage electronic health records (EHRs) and genetic data to develop machine learning-based predictive models for key clinical outcomes in psychosis-related disorders. The primary objectives are to: 1) Build individual-level prediction models for treatment response, illness severity, medical comorbidities, and diagnostic...
This $287,000 Project Grant award from the National Institute of Mental Health (NIMH), under CFDA Program 93.242 Mental Health Research Grants, will enable the University of Chicago to leverage electronic health records and machine learning to develop predictive models for clinical outcomes in psychosis-related disorders. The key objectives are to: Build individual-level predictive models for treatment response, illness severity, medical comorbidities, and diagnostic transitions in...
The National Institute of Mental Health (NIMH) awarded a $508,500 Project Grant under the Mental Health Research Grants program (CFDA 93.242) to New York University School of Medicine. The grant, titled "CLINICAL OUTCOME PREDICTION OF PSYCHOSIS FROM ELECTRONIC HEALTH RECORDS (COPPER)," aims to leverage machine learning approaches to build predictors and identify subtypes of clinical outcomes among individuals with schizophrenia. Key activities include: Using two independent...
This Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will leverage electronic health records, dimensional phenotyping, and genetic analyses to build machine learning-based models to predict clinical outcomes and identify subtypes among individuals with psychosis-related disorders. The $2,048,026 award to The Trustees of Columbia University in the City of New York will support the following key activities...
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The National Institute of Mental Health (NIMH) awarded a $436,004 Project Grant under the Mental Health Research Grants program (CFDA 93.242) to Mayo Clinic. The grant, titled "PSYCHEMERGE: ADVANCING PRECISION PSYCHIATRY," will extend the PsychEmerge network's foundational efforts to address barriers in scalability, utility of genomic data, clinical application, and translation to clinical practice in precision psychiatry. Key project objectives include: Creating a nationwide...
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The National Institute of Mental Health (NIMH) awarded a $334,588 Project Grant (CFDA 93.242 Mental Health Research Grants) to Beth Israel Deaconess Medical Center, Inc. (Bidmc) to predict the outcomes of individuals at clinical high-risk for psychosis. The grant aims to:

  1. Predict clinical high-risk psychosis outcomes using a collective intelligence approach, where a group of psychiatrists makes predictions together, compared to individual predictions.

  2. Predict clinical high-risk psychosis outcomes using a multidisciplinary group (psychiatrists, neuropsychologists) that has access to clinical, cognitive, and risk calculator data, and compare their collective intelligence to the psychiatrist-only group.

The project will quantify the benefits of using collective intelligence and multimodal data to improve outcome prediction accuracy for individuals at clinical high-risk for psychosis, compared to traditional methods. The grant period is from April 1, 2025 to March 31, 2027.

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