Pharmacokinetic Parameter

Pharmacokinetic (PK) parameters describe how a drug moves through the body, influencing its efficacy and safety. Current research focuses on improving PK parameter prediction using machine learning, particularly employing deep neural networks, diffusion models, and physics-informed neural networks to overcome data scarcity and improve accuracy. These advancements leverage both large datasets and mechanistic understanding to create more reliable and interpretable models, ultimately aiding drug discovery and development by optimizing drug dosage and minimizing adverse effects. The resulting improvements in prediction accuracy and efficiency have significant implications for personalized medicine and accelerating the drug development process.