Understanding how to improve viral suppression in HIV patients using big data
Patterns and predictors of viral suppression: A Big Data approach
This study is looking at what helps people with HIV keep their virus under control, so doctors can better spot those who might struggle with treatment and improve care for everyone living with HIV.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of South Carolina at Columbia NIH-funded |
| Lab location | 1 site (Columbia, United States) |
| Project ID | NIH-11088278 on NIH RePORTER |
What this research studies
This research investigates the factors that influence viral suppression in individuals living with HIV, aiming to develop a predictive model that can help healthcare providers identify patients at risk of poor viral control. By analyzing a wide range of data, including clinical, structural, and socioenvironmental factors, the study seeks to fill existing gaps in understanding virologic outcomes. The ultimate goal is to create tools that can be used in clinical settings to enhance HIV treatment and care, thereby contributing to the national effort to reduce new HIV infections.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals living with HIV who are currently undergoing treatment and may be at risk of not achieving viral suppression.
Not a fit: Patients who are not living with HIV or those who are not receiving antiretroviral therapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved treatment strategies for HIV patients, enhancing their chances of achieving and maintaining viral suppression.
How similar studies have performed: Previous research has shown promise in using big data and predictive modeling to improve health outcomes in various conditions, suggesting that this approach could be effective for HIV as well.
Where this research is happening
Columbia, United States
- University of South Carolina at Columbia — Columbia, United States (Active)
Researchers
- Principal investigator: Olatosi, Bankole — University of South Carolina at Columbia
- Study coordinator: Olatosi, Bankole
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.