A Review on AI-Based Data-Driven Models for Optimization of Nanocarriers as Drug Delivery Systems

Artificial intelligence (AI), primarily machine learning (ML), has revolutionized as a transformative strategy to accelerate nanomedicine research and optimization. The present review highlights the nanocarrier-integrated AI-based approaches to enhance the performance of drug delivery systems. Traditional nanosystems are designed via trial-and-error experiments, which are expensive and time-consuming. ML approaches requiring distinct supervised and unsupervised algorithms and computational models offer a strong alternative. These models are well oriented to optimize the nanoparticle (NP) as the carrier and reveal its properties and complex interactions in the biological environment. Multiscale machine-learned…