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: Source Type: research