In this talk, FDNA will present how deep learning is used to build an applicable framework that is used to aid in identification of hundreds of genetic disorders and help kids all over the world. Genetic Disorders affect one in every ten people. Many of these diseases are characterized by observable traits of the affected individuals - a 'phenotype'. In many cases, this phenotype is especially noticeable in the facial features of the patients, Down syndrome for example. But most such conditions have subtle facial patterns and are harder to diagnose. FDNA will describe their solution, its ability to generalize well for hundreds of Disorders while learning from a small amount of images per class, and its application for genetic clinicians and researchers.
Hall: Hall I