This Project Grant award from the National Institute of Mental Health (NIMH), under CFDA 93.242 Mental Health Research Grants, is for a collaborative research project titled "PSYCHEMERGE: ADVANCING PRECISION PSYCHIATRY." The $984,036 award will be used to extend the foundational efforts of the PSYCHEMERGE network to address barriers to scalability, utility of genomic data, clinical application, and translation to clinical practice in a precision psychiatry paradigm. The key aims of the...
The National Institute of Mental Health (NIMH) awarded a 5-year $878,464 Project Grant (CFDA 93.242 Mental Health Research Grants) to Mayo Clinic, a renowned academic medical center, to advance precision psychiatry research. The key objectives are to: Create a nationwide federated transfer-learning platform for developing generalizable and bias-aware algorithms. Integrate state-of-the-art methods for inclusive trans-ancestry genomic analysis and leverage medical record data to discover novel...
The National Institute of Mental Health (NIMH) awarded a $1,613,367 Project Grant under the Mental Health Research Grants (CFDA 93.242) program to Geisinger Clinic in Danville, PA. The grant, titled "7/7-PSYCHEMERGE: ADVANCING PRECISION PSYCHIATRY", aims to address barriers to scalability, utility of genomic data, clinical application, and translation to clinical practice in a precision psychiatry paradigm. Specifically, the grant will create a nationwide federated transfer-learning...
The National Institute of Mental Health (NIMH) awarded a $1,564,542 Project Grant under the Mental Health Research Grants (CFDA 93.242) program to the University of California, Los Angeles (UCLA) for the "PSYCHEMERGE: ADVANCING PRECISION PSYCHIATRY" project. The 5-year grant, effective September 1, 2024, aims to address barriers to scalability, utility of genomic data, clinical application, and translation to clinical practice in a precision psychiatry paradigm. Key objectives...
The National Institute of Mental Health (NIMH) awarded a $1,635,902 Project Grant (CFDA 93.242 - Mental Health Research Grants) to The General Hospital Corporation, doing business as Massachusetts General Hospital (MGH), to advance precision psychiatry research. The 5-year project, titled "PSYCHEMERGE: Advancing Precision Psychiatry," aims to: Create a nationwide federated transfer-learning platform for developing generalizable and bias-aware algorithms; Integrate state-of-the-art...
This federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $1,919,498.00 to The Research Foundation For The State University Of New York, doing business as SUNY Downstate Health Sciences University, to advance precision psychiatry research. The project, titled "PSYCHEMERGE: ADVANCING PRECISION PSYCHIATRY," aims to develop a nationwide federated transfer-learning platform for generalizable...
This Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) provides $961,668 to The Feinstein Institutes for Medical Research to leverage electronic health records, dimensional phenotyping, and genetic analyses to build predictive models and identify subtypes of clinical outcomes for individuals with schizophrenia and other psychosis-related disorders. The 5-year project aims to advance precision psychiatry by...
This Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) provides $720,375 to New York University School of Medicine to leverage electronic health records (EHRs) and advanced data analytics to develop predictive models and identify clinical outcome subtypes for psychosis-related disorders. The key products and services to be delivered include: Building machine learning models to forecast major prognostic outcomes...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $779,000 to the University of Chicago to leverage electronic health records, dimensional phenotyping, and genetic analyses to develop machine learning-based predictive models and identify subtypes of clinical outcomes among individuals with schizophrenia. The award aims to advance the goals of precision psychiatry by enabling individualized...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), is focused on leveraging electronic health records (EHRs) and genetic data to develop predictive models and identify subtypes of psychosis-related disorders. The key products and services to be delivered under this $1,424,534 award include: Building machine learning-based prediction models to forecast clinical outcomes such as treatment response, illness...
This Project Grant award of $1,217,924, provided by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants (CFDA 93.242) program, aims to advance precision psychiatry through a nationwide federated platform for developing generalizable and bias-aware algorithms. The key objectives include:
Creating a scalable infrastructure to enable rapid multi-site training and deployment of network models for psychiatric phenotypes, predictions, and genomics analyses.
Conducting inclusive trans-ancestry genetic analyses on real-world psychiatric diagnoses and related phenotypes.
Building and testing probabilistic algorithms for differential diagnosis between bipolar disorder and other mood disorders, as well as predicting antidepressant treatment response.
Assessing the feasibility, utility, and stakeholder attitudes towards precision psychiatry tools through a mixed methods approach.
This collaborative effort across 12 diverse sites will leverage a combined dataset of over 29 million clinical records and 2 million genetic samples to advance the goals of equitable, data-driven precision psychiatry.