Results (1)
Search Parameters:
Author/Affiliation: Kapil PandaOpen AccessArticle
10 Pages, 494 KB 
Leveraging Machine Learning for a Comprehensive Assessment of PFAS Nephrotoxicity
Abstract:
Polyfluoroalkyl substances (PFAS) are persistent chemicals that accumulate in the body and environment. Although recent studies have indicated that PFAS may disrupt kidney function, the underlying mechanisms and overall effects on the organ remain unclear. Therefore, this study aims to elucidate the impact of PFAS on kidney health using machine learning techniques. Utilizing a dataset…
Read More(This article belongs to the SP16 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2024) & Section Toxicology (TOX))