Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

SYNcronized Agentic Prescriptive System for Improving Sequentially HIV Care Continuum (SYNAPSIS-HIV-CC)

Award Number: R01MH143270
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 04/01/2026
PERIOD OF PERFORMANCE END DATE: 12/31/2030

Group Awards By:

View Award Description

SYNcronized Agentic Prescriptive System for Improving Sequentially HIV Care Continuum (SYNAPSIS-HIV-CC) - ABSTRACT While useful, traditional machine learning and epidemiological prediction models for HIV health outcomes are limited in their ability to capture the complexities of HIV care, typically focusing on single outcomes, and not fully considering the nuisances and multiple health challenges faced by people living with HIV (PLWH). Furthermore, while powerful, traditional machine learning models often times fall short in providing human-interpretable explanations for their choices and predictions. To address this shortfall, we propose the SYNchronized Agentic Prescriptive System for Improving Sequentially HIV Care Continuum (SYNAPSIS-HIV-CC), a comprehensive system to optimize the HIV clinical care continuum. Our approach combines artificial intelligence (AI) agents, large language models, and knowledge graphs to provide individualized healthcare recommendations for multiple endpoints, considering multiple crucial HIV health outcomes: Loss of care (patient dropout from care); viral suppression (undetected viral load); CD4 count levels; a key health monitoring panel; development of new acute events; and development of new comorbidities. The approach also includes the development of an antiretroviral regimen optimization system based on causal AI. SYNAPSIS-HIV-CC outputs will be designed to be interpretable by humans, and supported by causal reasoning. Healthcare providers, such as infectious disease specialists, as well as community healthcare experts will be recruited to help design SYNAPSIS-HIV-CC clinical applications. We will obtain our goals via the following Specific Aims: Aim 1: Agentic AI for multimodal prediction of multiple HIV outcomes Aim 2: A multi-endpoint antiretroviral regimen optimization system via causal AI Aim3: Implementation strategy through qualitative expert assessment By leveraging a multimodal dataset including longitudinal electronic health records, clinical notes, social- behavioral determinants of health, and medical imaging, SYNAPSIS-HIV-CC is designed to help improve PLWH care. Taken together, our three aims will produce an agentic, multimodal, causal AI system for both integrated HIV multi-outcome prediction (Aim 1) and treatment optimization (Aim 2), complete with an implementation plan for real-world applications (Aim 3).


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $1,130,348 )
2026	2026	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Mental Health Research Grants	000	1	3/26/2026	NEW	$1,130,348
														Subtotal = $1,130,348

Grand Total All Awards = $1,130,348

Top

All Categories

About

Search

Reports

Data Submission

Award Information

SYNcronized Agentic Prescriptive System for Improving Sequentially HIV Care Continuum (SYNAPSIS-HIV-CC)

Award Number: R01MH143270

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 04/01/2026

PERIOD OF PERFORMANCE END DATE: 12/31/2030

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer