FDNA launches app-based tool for clinicians using facial recognition, AI and genetic big data to improve rare disease diagnosis and treatment

March 21, 2017

MobiHealthNews

“Boston startup FDNA, which makes a suite of apps called Face2Gene that use facial analysis, artificial intelligence, and genomic insights in hopes of improving diagnoses and treatment of rare diseases, has launched a new tool for clinicians. Using de-identified data from their patients, clinicians can now share their findings and test and analyze patient cohorts with other clinicians worldwide on Face2Gene’s Research application.”

 

The article explains that FDNA has introduced an innovative app-based tool designed to aid clinicians in diagnosing and treating rare diseases. Utilizing advanced facial recognition, artificial intelligence (AI), and vast genetic data, this decision support tool provides a robust resource for healthcare professionals. The app enhances the accuracy of rare disease identification by analyzing facial features and correlating them with genetic information. This cutting-edge technology streamlines the diagnostic process, offering a significant leap forward in the early detection and management of rare conditions. By leveraging AI and big data, FDNA’s tool for clinicians is set to revolutionize rare diseases, making precise and timely diagnoses more accessible.

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