Integrating artificial intelligence (AI) and machine learning (ML) into computational modeling frameworks is revolutionizing pharmacokinetic evaluation, offering transformative insights for both small-molecule drugs and the complex field of nanomedicine. This presentation highlights the pivotal role of AI-assisted approaches in predicting nanomedicine absorption, distribution, metabolism, and excretion (ADME) properties, addressing the unique challenges posed by nanoparticle physicochemical characteristics, biological interactions, and the formation of the protein corona. By coupling AI with physiologically based pharmacokinetic (PBPK) modeling and integrating protein corona research, we introduce a novel paradigm that advances rational drug design, optimizes formulation strategies, and improves drug delivery precision. This synergy enhances scalability, reduces experimental burden, and accelerates the development of next-generation nanomedicines with superior therapeutic outcomes. Future directions will also be explored, including multi-modal data integration, neural network-driven simulations, and AI-enhanced predictive modeling to foster innovation in precision nanomedicine and drug design.
Dr. Wei-Chun Chou is an Assistant Professor in the Department of Environmental Sciences in the College of Natural & Agricultural Sciences at the University of California, Riverside (UCR). He received his Ph.D. in Biomedical Engineering and Environmental Sciences from the National Tsing-Hua University in 2013 and furthered his expertise through postdoctoral training at the Institute of Computational Comparative Medicine at Kansas State University, completing it in 2021.
Before his current position at UCR, Dr. Chou was a Research Assistant Professor in the Department of Environmental and Global Health at the University of Florida from May 2021 to December 2023. His research focuses on advancing computational technologies, particularly in physiologically based pharmacokinetic (PBPK) modeling, machine learning, and artificial intelligence applications. His research primarily delves into nanomedicine, nanoparticles, and chemical risk assessment, aiming to elucidate their effects on the environment and human health.
Dr. Chou's contributions to the scientific community are evident through his authorship of over fifty peer-reviewed publications. His dedication and expertise have been recognized with prestigious awards and honors from the Society of Toxicology (SOT). His awards include the Outstanding Young Toxicologist Award from the American Association of Chinese in Toxicology (AACT), the Andersen-Clewell Trainee Award from the Biological Modeling Specialty Section, and the Best Paper Award from the Risk Assessment Specialty Section, reflecting the significance and impact of his contributions to the field.