Study defines new artificial intelligence standard in healthcare

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 findings in this paper suggest that this type of technology adds significant value in personalized care and will become a standard among deep learning based genomic tools. The paper, titled "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. The deep learning technology discussed, DeepGestaltTM, is a novel facial analysis framework that highlights the facial phenotypes of hundreds of diseases and genetic variations. "This is a long-awaited breakthrough in medical genetics that has finally come to fruition," said Dr. Karen Gripp, CMO at FDNA and co-author of the paper.