Open-Access HIV Care: Smart Tech for Detecting Drug Resistance and Guiding Treatment
Official title: Blueprint for Open-Access HIV Care: Core Technology Development for Autonomous Drug Resistance Testing and Regimen Selection with Cognitive Robots and LLM-Powered Voice-Driven Clinical Insight System
Funded at University of Southern California · NIH-11553170 · Data updated 2026-11-12
A patient‑focused project to speed up HIV drug resistance testing and tailor regimens using automated, AI-assisted technologies at open-access clinics.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Southern California NIH-funded |
| Lab location | 1 site (Los Angeles, UNITED STATES) |
| Project start | August 10, 2011 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $671,745 |
| NIH project number | 2R56AI095066-16 |
| Project ID | NIH-11553170 on NIH RePORTER |
Who could benefit from this research
✓Could help
People living with HIV who access care in public safety-net or open-access clinics and may need resistance testing to guide regimens.
✕Less likely to help
Patients not facing resistance issues or those not engaged in ongoing HIV care may see no direct benefit.
What this research studies
This project aims to modernize how HIV drug resistance is detected so clinicians can choose the most effective regimens faster. It leverages portable genotyping tools, automated analysis, and AI-powered insights to streamline testing in resource-limited settings like public safety-net clinics. By reducing costs and turnaround times, it seeks to improve viral suppression rates and keep people on the best possible treatment, including new drugs like LEN. The work builds on prior methods to automate workflows and bring sequencing and interpretation to the point of care, with a focus on practical implementation in real-world clinics.
Why it matters
Potential benefit: If successful, patients could receive faster, more accurate resistance testing and better-personalized HIV treatment plans, potentially improving viral suppression rates.
How similar studies have gone: Prior work on Portable HIV Genotyping and automated analysis has shown promise in reducing costs and improving turnaround times.
Where this research is happening
-
University of Southern California
Los Angeles, United States Active
Researchers
- Principal investigator: Lee, Ha Youn — University of Southern California
- Study coordinator: Lee, Ha Youn
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.