Project description

Craniofacial dysmorphology is an important indicator of developmental issues in the early stages of life. After birth, pediatricians’ initial diagnosis is often based on visual inspection; however, identifying these dysmorphologies this way is difficult, and mass genetic screening is expensive and impractical.

Because of this, there is a growing interest in using facial imaging as a low‑cost tool for preliminary genetic screening. This would allow for the identification of suspicious cases that require further study. The objective of this project is to develop the technology necessary to make this early screening more accurate, accessible, and comprehensive, facilitating its implementation as early as possible in life.

Tasks to be performed

• Development and validation of computational methods for the detection of facial geometric anomalies (dysmorphology) from infant scans. These tasks are part of Work Package 5 of the fundi...