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...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $812,950 to Geisinger Clinic to advance precision psychiatry through a collaborative multi-site research network, PsychEmerge. The key objectives are to:
Create a nationwide federated transfer-learning platform to develop generalizable and bias-aware algorithms for psychiatric diagnosis and treatment prediction.
Integrate advanced genomic...
This federal Project Grant award from the National Institute of Mental Health (NIMH) under CFDA 93.242 - Mental Health Research Grants provides $492,018 to advance precision psychiatry through the PSYCHEMERGE network. The 5-year project aims to:
Create a nationwide federated transfer-learning platform to develop generalizable and bias-aware psychiatric algorithms.
Integrate state-of-the-art methods for inclusive trans-ancestry genomic analysis and leverage medical record data to discover...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $1,217,924 over 5 years to advance precision psychiatry research. The award aims to:
Create a nationwide federated transfer-learning platform for developing generalizable and bias-aware algorithms to improve early detection and treatment of psychiatric disorders.
Integrate state-of-the-art methods for inclusive trans-ancestry genomic analysis...
The National Institute of Mental Health (NIMH) awarded a $782,271 Project Grant under the Mental Health Research Grants program (CFDA 93.242) to the University of California, Los Angeles (UCLA) to advance precision psychiatry through a collaborative, nationwide research initiative. The 5-year grant, running from September 1, 2024 to May 31, 2029, aims to develop generalizable and bias-aware machine learning algorithms, integrate state-of-the-art genomic and medical record analysis methods,...
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 federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $831,180 in funding to The General Hospital Corporation (Massachusetts General Hospital) to advance precision psychiatry research through a collaborative, nationwide effort.
The key products and services to be delivered under this five-year grant include: 1) creating a federated transfer-learning platform to develop generalizable,...
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 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...
The National Institute of Mental Health (NIMH) awarded a $4,170,401 Cooperative Agreement (Grant ID U01MH136535) under the Mental Health Research Grants program (CFDA 93.242) to the Icahn School of Medicine at Mount Sinai. The goal of the "Phenotypes Reimagined to Define Clinical Treatment and Outcome Research (PREDICTOR)" project is to develop individualized clinical signatures to predict key mental health outcomes like treatment disengagement, ER visits, and hospitalizations. The...