Project Grant K23MH141460
- The National Institute of Mental Health awarded the University of California, Los Angeles $117,263 under the Mental Health Research Grants program (CFDA 93.242) on May 6, 2026, to support a K99/R00 Pathway to Independence Award focused on prediction of risk and resilience in psychosis and bipolar spectrum disorders. The award funds development of machine learning models to identify novel combinations of demographic, social determinants of health, clinical, cognitive, and biological factors...
- The National Institute of Mental Health awarded The General Hospital Corporation (Massachusetts General Hospital) $824,404 on September 1, 2026, under the Mental Health Research Grants program (CFDA 93.242) to develop machine learning models that integrate clinician-conducted suicide risk assessments with electronic health record data to improve prediction of suicidal behavior and guide precision interventions in outpatient behavioral health settings. The research leverages routine clinical...
- The National Institute of Mental Health awarded the University of California, Los Angeles $436,934 on June 1, 2026, under the Mental Health Research Grants program (CFDA 93.242) to conduct a longitudinal study of suicidal thoughts and behaviors in Mexican-origin youth. The project tracks developmental trajectories of suicidal thoughts and behaviors from preadolescence through young adulthood in a cohort of 674 Mexican-origin youth, leveraging 19 years of existing data from the California...
- The National Institute of Mental Health awarded New York University $435,974 on May 1, 2026, under the Mental Health Research Grants program (CFDA 93.242) to develop computational models that quantify individual differences in learning and decision-making and predict psychiatric symptoms. The award funds development of a novel computational framework combining recurrent neural networks and dynamical systems theory to model reward learning processes at the individual level rather than group...
- The National Institute of Mental Health awarded the University of California, Berkeley, $210,915 under the Mental Health Research Grants program (CFDA 93.242) on August 1, 2026. The award funds an 8-week remote summer workshop series that trains early-, mid-career, and senior-level social and behavioral scientists in machine learning and emerging artificial intelligence technologies, including generative AI and large language models. The curriculum begins with Python programming from a data...
- The National Institute of Mental Health awarded the University of Pittsburgh $378,984 on March 13, 2026, under the Mental Health Research Grants program (CFDA 93.242) to test an integrative neurobiological model linking peripheral inflammatory markers to dysfunction in reward-related corticostriatal circuitry and adolescent suicidal ideation. The project, designated K23MH138759, will enroll 90 adolescents with unipolar depressive disorders enriched with those with a history of suicidal...
- The National Institute of Mental Health awarded Wellesley College $707,584 under the Mental Health Research Grants program (CFDA 93.242) on August 1, 2026, to develop machine learning models that encode clinical knowledge for understanding, prediction, and prevention of suicide. The project addresses three data analysis bottlenecks in ecological momentary assessment studies of suicidal thoughts and behaviors: small sample sizes that limit deep learning applications, stochasticity in external...
- The National Institute of Mental Health awarded the University of Southern California $1.509 million on September 19, 2025, under the Mental Health Research Grants program (CFDA 93.242) to develop machine learning risk prediction models for persistent adverse mental health outcomes in autistic children and youth, leveraging social determinants of health from electronic health record data. The research uses natural language processing to extract social and ecological factors from clinical notes...
- The National Institute of Mental Health awarded the University of California, San Diego $2.115 million on August 1, 2026, under the Mental Health Research Grants program (CFDA 93.242) to develop and evaluate a mobile health system delivering just-in-time adaptive interventions based on dialectical behavior therapy principles for young adults with comorbid major depressive disorder, social anxiety disorder, generalized anxiety disorder, and related anxiety conditions. The UNDERSTAND project...
- The National Institute of Mental Health awarded The McLean Hospital Corporation $193,320 on February 18, 2026, under the Mental Health Research Grants program (CFDA 93.242, Assistance Listing) to support a K23 mentored career development award focused on online social networking mechanisms of suicide in adolescents. The award funds research establishing objective, ecologically valid assessment of interpersonal behavior in adolescents with suicidal thoughts and behaviors (STBS) through analysis...
The National Institute of Mental Health awarded the University of California, San Diego $199,271 on August 1, 2026, under the Mental Health Research Grants program (CFDA 93.242) to develop a measurement-informed machine learning model for generalizable suicide risk prediction in youth. The project will create a transparent, interpretable, and developmentally sensitive machine learning model incorporating neurobiological, psychological, electronic health record-derived, and social indicators to predict suicidal thoughts and behaviors across critical developmental and contextual subgroups. Using longitudinal data from the Adolescent Brain Cognitive Development Study for ages 9 to 18, the work will assess and address measurement non-invariance in biopsychosocial predictors across subpopulations including sex, socioeconomic status, developmental stage, region, and race/ethnicity through moderated nonlinear factor analysis. The project will then employ interpretable machine learning techniques—random forest, elastic net, support vector machines, and extreme gradient boosting—to predict future suicidal thoughts and behaviors, with external validation in relevant subpopulations. The model will enhance calibration and accuracy through targeted refinements such as trans-balance, Platt scaling, and stratified modeling. Performance occurs in La Jolla, California. The award runs from August 1, 2026, through July 31, 2031. This K23 award—a mentored career development grant—carries no renewal option and is limited to a 5-year period.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.3k | 8/4/26 |