Next-Generation Pharmaceutics: AI-Assisted Drug Design, Nanotechnology, and Advanced Therapeutic Delivery Systems

Abstract- Pharmaceutical sciences are undergoing a transformative evolution driven by technological breakthroughs—including artificial intelligence (AI), nanotechnology, and advanced delivery system engineering. AI-assisted drug design has emerged as a powerful tool for rapid candidate generation, optimization of pharmacokinetic properties, and reduction of early-stage attrition rates. Concurrently, nanotechnology has enabled the development of multifunctional delivery platforms capable of targeted, controlled, and stimuli-responsive release of therapeutics. Advanced therapeutic delivery systems, such as lipid nanoparticles, polymeric nanocarriers, and microneedle arrays, have improved the efficacy and safety of small molecules, biologics, and nucleic acid therapeutics. This review synthesizes current progress in AI methodologies applied to medicinal chemistry, highlights nanotechnology-based strategies for drug delivery, discusses regulatory and translational challenges, and outlines future opportunities at the interface of computation, material science, and pharmaceutical engineering. Integrating computational intelligence with nanoscale design principles promises to accelerate precision medicine and expand the therapeutic horizon of modern pharmaceutics.