FDNA Publishes Study in Nature Medicine Defining New Artificial Intelligence Standard in Healthcare
Summary
BOSTON--( BUSINESS WIRE )-- FDNA , a leader in artificial intelligence and precision medicine, in collaboration with a team of influential scientists and researchers published a milestone study on the use of facial analysis in detecting genetic disorders.The paper, entitled “ Identifying Facial Phenotypes of Genetic Disorders Using Deep Learning ”, was published in the peer-reviewed journal Nature Medicine (January 07, 2019) as the product of three years of research.“With this study, we’ve shown that adding an automated facial analysis framework, such as DeepGestalt, to the clinical workflow can help achieve earlier diagnosis and treatment, and promise an improved quality of life.”Yaron Gurovich, CTO at FDNA and first author of the paper, added, “The increased ability to describe phenotype in a standardized way opens the door to future research and applications, and the identification of new genetic syndromes.Using advanced deep learning, FDNA’s next-generation phenotyping (NGP) technologies capture, structure, and analyze complex human physiological data to produce actionable genomic insights.