Training health researchers to use big data for infectious disease
Big Data Health Science Fellow Program in Infectious Disease Research
This study is all about helping health researchers use technology and big data to better understand and treat infectious diseases like HIV/AIDS and COVID-19, so they can find those at higher risk and improve health outcomes for everyone.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| 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-11112911 on NIH RePORTER |
What this research studies
This program focuses on training health researchers to leverage big data and advanced computational technologies, such as machine learning and artificial intelligence, to improve understanding and treatment of infectious diseases like HIV/AIDS and COVID-19. By analyzing vast amounts of healthcare data, the research aims to identify high-risk individuals and communities, predict disease progression, and evaluate the impact of public health policies. Participants will gain essential skills to conduct innovative research that can lead to better health outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at high risk for HIV/AIDS or COVID-19, as well as those interested in participating in innovative health research.
Not a fit: Patients who are not at risk for infectious diseases or who do not wish to engage in research may not benefit from this program.
Why it matters
Potential benefit: If successful, this research could lead to improved identification and treatment of high-risk populations for infectious diseases.
How similar studies have performed: Previous research has shown success in using big data approaches to improve health outcomes in infectious diseases, indicating a promising avenue for this program.
Where this research is happening
Columbia, United States
- University of South Carolina at Columbia — Columbia, United States (Active)
Researchers
- Principal investigator: Li, Xiaoming — University of South Carolina at Columbia
- Study coordinator: Li, Xiaoming
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.