Authors: Prabhu Prasad
Abstract: The integration of artificial intelligence (AI) with nanotechnology is rapidly transforming the landscape of drug delivery systems, enabling the creation of smart, responsive platforms capable of adapting to dynamic biological environments. Responsive drug delivery systems use nanocarriers that can detect specific physiological cues and release therapeutic agents accordingly, improving efficacy and minimizing side effects. This paper delves into the role of AI in designing and optimizing these nanocarriers, discussing machine learning models for predicting carrier behavior, AI-driven synthesis, and personalized drug release strategies. It also examines biomedical applications, challenges, ethical considerations, and future directions, highlighting how this synergy paves the way for precision medicine tailored to individual patients' needs.
DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.552
