Fetal Fentanyl Syndrome: Unveiling a New Syndrome Linked to Fentanyl Use During Pregnancy
Dr. Karen Gripp, MD, Chief of the Division of Medical Genetics at Nemours Children’s Health in Wilmington, has been at…
Next-Gen Phenotyping Through AI Beats Clinician Diagnoses
January 7, 2019
“DNA researchers evaluated how well the company’s facial image analysis framework—DeepGestalt—compared to experts doing phenotypic evaluation. The company has trained its system on a global library of facial images of more than 150,000 patients through Face2Gene, an app that is free to healthcare professionals.”
The article highlights how FDNA’s advanced AI technology is pushing the boundaries of next-gen phenotyping, outperforming traditional clinician diagnoses. Using the Face2Gene platform, FDNA’s AI analyzes detailed facial features to identify phenotypic markers linked to various genetic conditions. This system leverages cutting-edge machine learning and a comprehensive database of facial images to provide highly accurate and rapid diagnostics. The article emphasizes the superior accuracy and efficiency of this next-gen phenotyping approach, enabling earlier detection and personalized treatment of genetic disorders. FDNA’s innovations are revolutionizing genetic medicine by enhancing diagnostic precision and improving patient outcomes.
Related articles
Continue reading
Interview with Dr. Giulia Pascolini: Unravelling the Genetic Underpinnings of Dermatological Anomalies
Dr Giulia Pascolini, an esteemed Italian M.D. and Ph.D., is currently responsible for the Genetic Counselling Service of the Istituto…
Spanish Coffin Siris Syndrome Association: Fighting for Health and Recognition
Founded in 2017, the Spanish Coffin Siris Syndrome Association is an organization dedicated to supporting families affected by this rare…