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 the best care possible based on their individual health information.
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-10733689 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 in planning appropriate outpatient treatments. The approach combines advanced techniques such as machine learning and artificial intelligence to integrate diverse datasets, including immune profiles and physiological monitoring. This information will not only guide individual treatment plans but also inform public health policies regarding the management of pediatric COVID-19 cases.
Who could benefit from this research
Good fit: Ideal candidates for this research are children aged 0-11 years who are at risk of or have been diagnosed with COVID-19.
Not a fit: Patients who are older than 21 years or those without a COVID-19 diagnosis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment strategies for children with COVID-19.
How similar studies have performed: Other research has shown promise in using AI and machine learning for disease prediction, indicating potential success for this novel approach.
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.