October 11, 2018
The article features insights on how FDNA’s integration of machine learning is revolutionizing healthcare, particularly in diagnosing rare diseases. It discusses the Face2Gene platform, which employs advanced machine-learning algorithms to analyze facial features and identify genetic disorders with high accuracy. By leveraging a vast database and sophisticated pattern recognition, FDNA’s technology provides quicker and more accurate diagnoses compared to traditional methods.
Dr. Karen Gripp, MD, Chief of the Division of Medical Genetics at Nemours Children’s Health in Wilmington, has been at the forefront of groundbreaking research into what is now termed Fetal Fentanyl Syndrome—a novel condition observed in children exposed to fentanyl in utero in the context of a maternal opioid use disorder. This emerging syndrome […]
Dr Giulia Pascolini, an esteemed Italian M.D. and Ph.D., is currently responsible for the Genetic Counselling Service of the Istituto Dermopatico dell’Immacolata (IDI-IRCCS) of Rome and is contributing her expertise to the Rare Skin Diseases Center of the same Institute. She is also a professor of Medical Genetics at the Medicine and Surgery Faculty of […]
Founded in 2017, the Spanish Coffin Siris Syndrome Association is an organization dedicated to supporting families affected by this rare genetic disorder. In an exclusive interview with Alejandra Paredes, president of the association and mother of a daughter with Coffin Siris Syndrome (CSS), we learned about the challenges faced by the families and about the […]