Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds

This study highlights the potential of integrating co-culture systems, RNA-Seq, and machine learning to develop more accurate and comprehensive <i>in vitro</i> methods for skin sensitization testing. Our findings contribute to the advancement of cosmetic safety assessments, potentially reducing the reliance on animal testing.