“…Current computational methods in pharmaceutics aim to address challenges like study complexity, regulatory oversight, candidate a rition, and late-stage clinical failures. These methods include in silico modeling for toxicity prediction (Tugcu et al, 2023), computational support for drug development workflows (Abramov et al, 2022;Tugcu et al, 2023), in silico trials for regulatory evaluation (Jose et al, 2022), prediction of genotoxic impurities and off-target pharmacology (Brigo et al, 2022), and computer simulations for drug design and mechanism of action insights (Adhikary & Basak, 2020). By leveraging these approaches, the pharmaceutical industry can enhance efficiency, reduce costs, and improve decision-making processes throughout the drug development lifecycle, ultimately contributing to the development of safer and more effective medicinal products.…”