Using AI to assess COVID-19 risk in children
AICORE-kids: Artificial Intelligence COVID-19 Risk AssEssment for kids
This study is looking at how COVID-19 impacts kids and aims to figure out how serious their illness might be, so doctors can provide better care and help families and communities stay safe as things reopen.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10847803 on NIH RePORTER |
What this research studies
This research focuses on understanding how COVID-19 affects children and aims to predict the severity of the disease in pediatric patients. By analyzing various biological markers and health data, the study seeks to stratify patients based on their projected disease severity, which can help improve treatment planning and inform community health policies. The approach utilizes advanced artificial intelligence and machine learning techniques to integrate diverse datasets, including immune profiles and physiological monitoring, to identify key indicators of disease progression. This information will not only benefit the patients but also their families and the broader community as schools and workplaces navigate reopening.
Who could benefit from this research
Good fit: Ideal candidates for this research are children aged 0-21 who are at risk of or have been diagnosed with COVID-19.
Not a fit: Patients who are not children or those who do not have COVID-19 may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatment strategies for children with COVID-19, ultimately improving health outcomes.
How similar studies have performed: Other research has shown promise in using AI and machine learning for disease prediction, indicating that this approach could be effective.
Where this research is happening
Houston, United States
- Baylor College of Medicine — Houston, United States (Active)
Researchers
- Principal investigator: Annapragada, Ananth V — Baylor College of Medicine
- Study coordinator: Annapragada, Ananth V
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.