AI Gets in the Face of Rare Genetic Diseases

January 7, 2019

Genetic Engineering & Biotechnology News

“The community-driven phenotyping platform, Face2Gene, is used by 70% of the world’s geneticists across 2,000 clinical sites in 130 countries. Developed by the Boston-based company FDNA, Face2Gene is based on a novel facial image analysis framework, DeepGestaltTM, that uses computer vision and deep-learning algorithms that highlights the facial phenotypes of hundreds of diseases and genetic variations.”

 

The article explores how FDNA is leading the way in using AI for facial image analysis to diagnose rare genetic diseases. FDNA’s Face2Gene platform utilizes advanced algorithms to examine facial photos for distinctive phenotypic traits linked to genetic disorders. By analyzing facial image data, the AI can identify subtle markers and provide more accurate and faster diagnoses than traditional methods. This non-invasive decision support tool allows for early interventions and customized treatment plans.

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