Project Grant DP5OD039510
- This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $334,588 to the Beth Israel Deaconess Medical Center (BIDMC) from April 1, 2025 to March 31, 2027. The project, titled "HIVE MIND: Harnessing Collective Intelligence for Predicting Clinical High-Risk for Psychosis Outcomes," aims to develop and refine predictive analytical methods, leveraging artificial intelligence and collective...
- This Project Grant award of $107,277 from the Department of Health and Human Services' National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) supports a study on within-person prediction of differential responding to perseverative thought disengagement strategies. The University of Pittsburgh will leverage mobile digital technologies and machine learning to test and generate predictions on the efficacy of four regulatory strategies (cognitive...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides funding of $393,392.00 to Northeastern University to develop a "context-aware framework to enable effective selection and delivery of digital health interventions" using personal computing devices like smartphones and wearables. The project aims to create "smart systems" that can optimize the...
- This federal Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) provides $1,093,825 to implement the PSYCH-DS data standard for human behavioral experiments. The key objectives are: 1) Creating validator software to ensure cross-compatibility of PSYCH-DS datasets across programming languages, 2) Integrating the PSYCH-DS standard into three popular experiment presentation software packages, and 3) Developing...
- This $1,413,000 Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will fund research at Arizona State University (ASU) to develop a new model for identifying biocomposite clusters of stress-related psychiatric disorders (SRPDs). The key objectives are to: 1) identify epigenetic sites and brain regions most responsive to environmental factors, 2) identify genetic and endophenotype clusters that mediate the...
- This Project Grant award of $350,000 from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) supports the development of innovative methods and tools for integrating brain imaging, multi-omics, and behavioral data. The goal is to build predictive models that can accurately identify the key parameters and biomarkers underlying complex psychiatric disorders, advancing the field of precision psychiatry. The award will...
- Lifespan Digital Health LLC was awarded a $255,409 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop bio-behavioral technology and provide mental health services. Specifically, the company will use predictive algorithms, wearable technology, and peripheral autonomic biofeedback to provide timely data and enable mental health professionals to treat students. This innovative approach aims to address the...
- This Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants (CFDA 93.242) program provides $388,026 to Adelphi University to conduct research on identifying social computational phenotypes (SCPs) associated with transdiagnostic mental health spectra. The research aims to use large-scale data-driven approaches, including behavioral, computational, psychological assessment, and neuroimaging (fMRI) methods, to systematically investigate the...
- The federal Project Grant award of $185,123.00, provided by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242), is focused on enhancing clinical terminology to enable precision mental healthcare. The primary goal is to improve outcomes for individuals with mental health conditions by developing high-quality, machine-readable semantic models for mental, behavioral, and social processes, findings, assessment instruments, and...
- This Cooperative Agreement award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), aims to enhance, deploy, and validate the Duke Predictive Model of Adolescent Mental Health (Duke-PMA) - a neural network-based tool to identify youth at high risk for psychiatric illness in primary care settings. The $15,039,330 award to Duke University will optimize the Duke-PMA by incorporating NIH Toolbox behavioral tasks to improve its...
This Project Grant award from the Department of Health and Human Services' National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) provides $380,103 to Drexel University to rapidly develop and evaluate precision psychiatry digital health interventions using dynamic systems modeling and ecological quasi-experiments. The project aims to improve the efficacy of digital mental health interventions by leveraging real-world, person-centered data to understand individual maintenance factors for psychopathology. This will involve using ecological momentary assessment and smartphone sensor data to build dynamic system models, which will then inform the delivery of just-in-time adaptive interventions to evaluate the effects of specific therapeutic skills on mental health outcomes. The award period runs from August 2025 to July 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $380.1k | 8/11/25 |