Using 3D facial scans to identify rare genetic diseases in children

University of Calgary researchers have developed a computer program that can use 3D facial imaging to identify rare genetic diseases in children. The research suggests that machine learning can be a rapid and cost-effective tool, allowing children and their families to obtain a more timely diagnosis and treatment plan. Most children with rare diseases spend years waiting for a diagnosis.

Although the program showed promising results in the research stage, it lacked a suitable 3D camera capable of handling high-volume clinical work without causing any adverse effects on patients.

Thanks to a chance encounter, researchers partnered with Rapid 3D, a Calgary company specializing in 3D imaging, whose clients are primarily in the energy and agriculture sectors. Together, they developed a camera prototype, where it will live at Alberta Children's Hospital. Their goal is to have the system in hospitals and rural settings across Canada to aid in the rapid diagnosis of children with rare diseases.