Reconhecimento facial ajuda geneticista brasileiro a diagnosticar doença genética rara

December 10, 2022

Diário PCD 

“O Dr. Carlos Leprevost inseriu em seu celular um simples retrato de seu paciente Nicolas, de 13 anos de idade, no aplicativo Face2Gene da FDNA. Em segundos, foi revelado uma alta similaridade facial com a síndrome de Coffin-Lowry, doença genética rara. O diagnóstico foi confirmado em laboratório, terminando uma longa jornada de 10 anos, 40 especialistas e inúmeros exames.”

 

The article from Diário PcD, describes FDNA utilizes deep learning technology to assist Brazilian geneticists in diagnosing rare genetic diseases. This innovative tool employs advanced facial recognition and deep learning algorithms to analyze patient photos. By comparing facial features to a vast database of genetic conditions, Face2Gene provides rapid and precise diagnostic suggestions. This deep learning technology aids healthcare professionals, enhancing early diagnosis and personalized treatment plans. FDNA’s groundbreaking approach demonstrates the transformative potential of deep learning technology in medical diagnostics, making it easier and more efficient to identify rare genetic disorders and improve patient outcomes.

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