Helping people with HIV stay virally suppressed using digital tools and AI

Exploring, Predicting, and Intervening on Long-term Viral suppression Electronically (EPI-LoVE)

['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA LOS ANGELES · NIH-11349378

This project uses digital outreach, AI-driven recruitment, and an app to support people with HIV who are not yet virally suppressed to stay engaged in care and reach lasting viral suppression.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CALIFORNIA LOS ANGELES (nih funded)
Locations1 site (LOS ANGELES, UNITED STATES)
Trial IDNIH-11349378 on ClinicalTrials.gov

What this research studies

You would join a large, digitally followed group of people living with HIV in the U.S. who are not yet virally suppressed (>200 copies/mL) or who have gaps in HIV care. The team will recruit participants through social media advertising using AI tools and through clinics run by the AIDS Healthcare Foundation, then offer an evidence-based digital platform (HealthMpowerment) to support care, adherence, and mental health. Researchers will follow participants over time to track viral load, care engagement, substance use, stigma, and barriers like rural isolation. The goal is to learn which digital outreach and support approaches help people stay in care and maintain viral suppression long-term.

Who could benefit from this research

Good fit: Adults and young people living with HIV in the United States who are not adequately virally suppressed (>200 copies/mL), report gaps in HIV care, or face substance use, mental health, or access barriers—especially those in rural areas, Black participants, and people under 25.

Not a fit: People who are already stably virally suppressed and fully engaged in HIV care are unlikely to gain direct benefit from the interventions tested here.

Why it matters

Potential benefit: If successful, this work could help more people with HIV stay engaged in care and achieve lasting viral suppression through tailored digital support and better outreach.

How similar studies have performed: Some digital adherence programs and clinic partnerships have shown improvements in care engagement and suppression, but AI-driven recruitment and long-term digital support approaches are newer and have mixed evidence.

Where this research is happening

LOS ANGELES, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: Acquired Immune Deficiency Syndrome, Acquired Immune Deficiency Syndrome Virus, Acquired Immunodeficiency Syndrome, Acquired Immunodeficiency Syndrome Virus

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.