Predicting the future spread of HIV using advanced technology
Forecasting trajectories of HIV transmission networks with a novel phylodynamic and deep learning framework
['FUNDING_R01'] · UNIVERSITY OF FLORIDA · NIH-10598075
This study is working on new ways to predict where HIV might spread next, using advanced technology to look at both the virus and people's behaviors, so that we can create better prevention strategies and help keep everyone safer.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF FLORIDA (nih funded) |
| Locations | 1 site (GAINESVILLE, UNITED STATES) |
| Trial ID | NIH-10598075 on ClinicalTrials.gov |
What this research studies
This research aims to develop innovative tools that can forecast the growth and trajectory of HIV transmission networks. By combining phylodynamic analysis with artificial intelligence, the project seeks to predict future hotspots of HIV infections and identify key factors contributing to new infections. Patients may benefit from improved prevention strategies and targeted interventions based on these predictions. The research will analyze both viral data and behavioral patterns to enhance understanding of HIV transmission dynamics.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals living with HIV or those at high risk of infection.
Not a fit: Patients who are not at risk of HIV infection or those who are not living with HIV may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective strategies for preventing HIV transmission and improving patient outcomes.
How similar studies have performed: Previous research has shown promise in using phylodynamic analysis for tracking HIV, but this approach of combining it with AI for predictive modeling is relatively novel.
Where this research is happening
GAINESVILLE, UNITED STATES
- UNIVERSITY OF FLORIDA — GAINESVILLE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SALEMI, MARCO — UNIVERSITY OF FLORIDA
- Study coordinator: SALEMI, MARCO
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.