Unraveling the association between triclosan and breast cancer: A multidimensional research strategy integrating machine learning, mendelian randomization, and molecular dynamics simulations.
OBJECTIVE The association between triclosan and breast cancer remains controversial, with early studies suggesting antitumor effects and recent evidence indicating pro-carcinogenic risks, but the key targets and molecular mechanisms remain unclear. This study integrated computational toxicology, network toxicology, mac...