Automated detection of neurodevelopmental risks in infants
Automated Assessment of Neurodevelopment in Infants at Risk for Motor Disability
This study is working on a new tool that uses video and sensors to help find babies who might be at risk for movement-related challenges, making it easier for parents and doctors to spot these issues early so that kids can get the support they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-10829431 on NIH RePORTER |
What this research studies
This research aims to create an automated system that uses advanced sensing technologies and machine learning to identify infants at risk for neurodevelopmental disabilities. By analyzing video and sensor data of infants during play and movement, the project seeks to develop a tool that provides accurate and early assessments of potential motor disabilities. The goal is to improve the ease of administering these assessments compared to current clinical tests, which can be complex and require specialized training. Early detection is crucial, as timely interventions can significantly enhance long-term outcomes for affected children.
Who could benefit from this research
Good fit: Ideal candidates for this research are infants, particularly those born at risk for neurodevelopmental disabilities, typically within the first year of life.
Not a fit: Patients who are older than 11 years or those without any risk factors for neurodevelopmental disabilities may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate identification of infants at risk for motor disabilities, allowing for timely interventions.
How similar studies have performed: Other research has shown promise in using machine learning and automated assessments for early detection of developmental issues, indicating a potential for success in this novel approach.
Where this research is happening
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Johnson, Michelle J. — University of Pennsylvania
- Study coordinator: Johnson, Michelle J.
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.