Emilio Benfenati

Causality-integrated graph learning for multi-endpoint toxicity prediction

Toxicity prediction remains a longstanding challenge in the safety assessment of numerous artificial chemicals. While conventional single-endpoint models are effective for predicting many molecular properties, they fail to capture the complex mechanisms underlying toxicity, which...

Exploring Hippuric Acid’s Putative Protective Role in Aging through In Silico and In Vitro Screening

Abstract Hippuric acid (HA) is a diet- and microbiome-derived metabolite consistently associated with healthy aging, yet whether it is a passive biomarker or an active effector remains unresolved. To investigate mechanisms underlying its protective role, in silico screening of la...