Award
NIH Reporter #1K23NS146694-01
Quantitative Gait Metrics to Assess and Predict Gross Motor Impairment in Young Children with Neurofibromatosis Type 1
Recipient
New York University School of Medicine
Award Amount
$247,995.00
Ceiling
$247,995.00
Awarded
January 23, 2026
Identifier
1K23NS146694-01
The award funds a project to develop AI-based gait assessment tools for young children with NF1 to predict and assess gross motor impairment, conducted at NYU.
Description
This project aims to develop office-based tools to quantify gait in young children with Neurofibromatosis Type 1 (NF1) that reflect overall gross motor impairment and predict future gross motor difficulties. The study involves evaluating gait speed and interlimb coordination derived from videos of children with NF1, using artificial intelligence-based pose estimates. The assessments will be conducted during routine medical visits at baseline, 12 months, and 24 months at the NYU Comprehensive Neurofibromatosis Center.