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AI algorithms for rare disease diagnosis ignore the genetic, morphological diversity of humans
Up to 40% of rare diseases show facial alterations that enable researchers to identify some pathologies and they can even help them to establish an early diagnosis.
United states
Emily henderson
Luis miguel echevverry
Neus mart
Valle del lili foundation
Department of evolutionary biology
Research on congenital anomalies
Environmental sciences
Ramon llull university
Congenital anomalies
Rare diseases
Evolutionary biology
Artificial intelligence
Noonan syndrome
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