Personalized risk prediction for Neurofibromatosis Type 1
Personalized risk assessment in Neurofibromatosis Type 1
This project will create AI-based tools to predict which children and adults with Neurofibromatosis Type 1 are most likely to develop specific health problems.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project ID | NIH-11322534 on NIH RePORTER |
What this research studies
If you have NF1, researchers plan to build AI tools that combine your medical history, imaging, genetics, and other health data to estimate your personal risks. They will train the models using existing patient records and biological samples and then test how well the tools work across groups of children and adults with NF1. The team aims to verify and validate the tools so clinicians can use them to guide monitoring and early care. The work is led at Washington University and focuses on making the tools useful for many different people with NF1.
Who could benefit from this research
Good fit: Ideal candidates are people of any age with a confirmed NF1 diagnosis who can share medical records, imaging, or biological samples.
Not a fit: People without NF1, or those who cannot or do not share medical records or samples, are unlikely to benefit from this project.
Why it matters
Potential benefit: If successful, these tools could give earlier, personalized warnings that help doctors monitor and treat NF1 complications before they become serious.
How similar studies have performed: Other studies have used AI to predict outcomes in genetic and tumor-related conditions with encouraging results, but applying these methods specifically to NF1 is relatively new.
Where this research is happening
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Gupta, Aditi — Washington University
- Study coordinator: Gupta, Aditi
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.