Elhabian Lab

Research focus

NIH R01 · 2024

CranioRate: An imaging-based, deep-phenotyping analysis toolset, repository, and online clinician interface for craniosynostosis

PROJECT SUMMARY Title: CranioRate™: An image-based, deep-phenotyping analysis toolset, repository, and online clinician interface for craniosynostosis. The purpose of this research grant application is to build on the advanced machine learning (ML) tool developed as part of a pilot study (R21EB026061) that objectively quantifies cranial dysmorphology, or deep phenotypes, in patients with metopic craniosynostosis (MC). Abnormal cranial suture fusion (craniosynostosis) occurs in one of every 2500 infants born in the US, resulting in disrupted regional skull growth and an increased risk of elevated intracranial pressure, neurocognitive impairment and visual disturbances including blindness.…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.