Artificial Intelligence - Driven Multifunctional Nanocarriers: A Synergistic Revolution in Precision Cancer Immunotherapy

Abstract

Cancer treatment has shifted significantly from generalized therapies to personalized,
precision- driven approaches. Although immunotherapy has transformed cancer
management, its clinical success is often limited by tumor heterogeneity, immune
escape mechanism, and dose related toxicities. These challenges highlight the urgent
need for advanced and adaptable therapeutic strategies. Multifunctional nanocarriers
have emerged as efficient platforms for the targeted delivery of anticancer agents. The
incorporation of artificial intelligence AI into nanocarrier design has further
accelerated progress in drug delivery research. Machine Learning [ML] & Deep
learning [DL] models now support the rational design and optimization of Nanoscale
carriers capable of tumour specific drug delivery. Together AI and Nanocarriers create
a synergistic system that enhances therapeutic precision, enables dynamic and
feedback based treatment planning, and improves all Overall drug delivery efficiency.
This review outlines the key advancements, integration approaches, challenges and
future prospects of AI- enabled nanocarrier systems in precision-based cancer
immunotherapy.