Project Grant R01MH143270

Grant Award Summary

The University of Florida received a $1.13 million Project Grant from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) to develop the Synchronized Agentic Prescriptive System for Improving Sequentially HIV Care Continuum (SYNAPSIS-HIV-CC). The award, effective April 1, 2026, through December 31, 2030, funds the development of an artificial intelligence (AI)-driven clinical decision support system designed to optimize HIV care outcomes across multiple health dimensions. The system integrates AI agents, large language models, and knowledge graphs to deliver individualized healthcare recommendations while addressing critical gaps in traditional machine learning approaches, which typically focus on single outcomes and lack human-interpretable explanations.

SYNAPSIS-HIV-CC will generate human-interpretable, causally-reasoned clinical tools that monitor multiple HIV health endpoints, including loss of care, viral suppression, CD4 count levels, development of acute events, and comorbidity progression. The project also includes development of an antiretroviral regimen optimization system based on causal AI methodologies. Research activities are structured around three specific aims: agentic AI for multimodal prediction of multiple HIV outcomes; a multi-endpoint antiretroviral regimen optimization system; and implementation strategy refinement through qualitative expert assessment. Healthcare providers, including infectious disease specialists and community health experts, will be engaged in designing clinical applications to ensure practical utility for infectious disease clinicians.