Training program for using big data in infectious disease research
Big Data Health Science Fellow Program in Infectious Disease Research
['FUNDING_OTHER'] · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · NIH-10890817
This study is all about using data from health records and wearable devices to better understand and treat infectious diseases like HIV/AIDS and COVID-19, and it’s designed for health researchers who want to learn new ways to analyze this information to help identify those at risk and improve early care.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA (nih funded) |
| Locations | 1 site (COLUMBIA, UNITED STATES) |
| Trial ID | NIH-10890817 on ClinicalTrials.gov |
What this research studies
This program focuses on harnessing big data from various healthcare sources, such as electronic health records and wearable devices, to improve understanding and treatment of infectious diseases like HIV/AIDS and COVID-19. It aims to train health researchers in advanced computational techniques, including machine learning and artificial intelligence, to analyze this data effectively. By identifying high-risk individuals and communities, the research seeks to enhance early interventions and predict disease outcomes. The initiative addresses the current shortage of skilled researchers in this field, providing them with the necessary tools and knowledge to conduct impactful studies.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals at high risk for infectious diseases, such as those living with HIV/AIDS or COVID-19.
Not a fit: Patients who are not at risk for infectious diseases or who do not have access to the necessary data streams may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved early detection and treatment strategies for infectious diseases, ultimately saving lives.
How similar studies have performed: Previous research has shown success in using big data analytics to improve health outcomes in infectious diseases, indicating a promising approach.
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.
Conditions: Acquired Immune Deficiency Syndrome Virus, Acquired Immunodeficiency Syndrome Virus