Artificial intelligence-driven insights into silver-doped zinc ferrite (SI=25): Advancing biofilm control, drug delivery, and tissue engineering for cancer therapy

This study synthesizes silver-doped zinc ferrite nanoparticles, comprehensively characterized using XRD, FESEM, UV-Vis, and FTIR, revealing their structural and optical properties. In vitro cytotoxicity assays on A549 lung cancer cells demonstrated a potent anticancer effect, with an LC50 of 7.1 µg/mL and a high selective index (SI) of 25. Mechanistically, the nanoparticles induced G0/G1 cell cycle arrest, significantly inhibited cell migration, and triggered enhanced reactive oxygen species (ROS) production, leading to apoptosis. Furthermore, the nanoparticles exhibited promising antioxidant properties by boosting catalase and superoxide dismutase (SOD) activities, coupled with the upregulation of p53 and p21 proteins. Leveraging artificial intelligence, this research aims to predict future applications, including biofilm inhibition, tissue engineering compatibility, enhanced anticancer efficacy through targeted drug delivery, and expanded therapeutic horizons. By integrating experimental data with AI-driven modeling, this work seeks to unlock the full potential of silver-doped zinc ferrite nanoparticles for advanced biomedical applications. • AI predicts nanoparticle use in biofilm, drug delivery, and tissue engineering. • AI extrapolates in vitro cancer cell results to broader biomedicine. • Nanoparticles show strong anticancer effect on A549 cells. • Nanoparticles induce cell arrest and apoptosis via ROS. • Nanoparticles enhance antioxidant enzymes and p53/p21.