Computational Models for Predicting Neonatal Brachial Plexus Injury During Complicated Birthing

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $445,000 · view on nsf.gov ↗

Abstract

Neonatal brachial plexus palsy (NBPP) is an injury that can occur during childbirth when a baby's head is stuck during delivery, which can cause pulling on the baby's neck and their nerves. How this stretching and pulling affects the nerves is unknown, which makes it difficult for a doctor to predict and prevent NBPP and delays treatment for injured newborns. This project will investigate how the nerves in the neck respond when subjected to various levels of stretch and for different durations. The team will use an animal model that has similarities to human newborns to understand NBPP. By stretching the nerves to different degrees and for varying lengths of time, the team will understand the response of these nerves and the limit when injury occurs. The project will also develop computer simulations that will mimic the conditions during complicated deliveries and allow researchers to estimate the stress the nerves experience during stretching. This study will enable the team to develop a practical tool that doctors can use to better predict NBPP and make informed decisions that reduce the risk of nerve injuries in newborns. The project will also help train the future science and engineering workforce by engaging students in research, fostering interest in STEM fields, and encouraging future contributions to healthcare advancements. NBPP untreated has serious long term impacts including muscle atrophy, impaired bone development, and osteoarthritis. There is a critical k

Key facts

NSF award ID
2501037
Awardee
Temple University (PA)
SAM.gov UEI
QD4MGHFDJKU1
PI
Anita Singh
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
Estimated total
$445,000
Funds obligated
$445,000
Transaction type
Standard Grant
Period
09/01/2025 → 08/31/2028