Machine learning approach to assess the association between anthropometric, metabolic, and nutritional status and semen parameters
This study, consistent with previous publications, suggests that beyond semen quality parameters, in an essential assessment of male fertility, other key factors should be taken into account. In this regard, the application of emerging artificial intelligence techniques may provide a unique opportunity to integrate all these parameters and deliver personalized care.PMID:38624205 | DOI:10.4103/aja20247
Source: Asian Journal of Andrology - Category: Urology & Nephrology Authors: Guillaume Bachelot Antonin Lamaziere Sebastien Czernichow Celine Faure Chrystelle Racine Rachel Levy Charlotte Dupont Nutrition and Fertility (ALIFERT) Group Source Type: research