Artificial Intelligence-Guided Engineering of Tumor Microenvironment-Responsive Nanodrug Delivery Systems for Precision Cancer Therapy

The rapid advancement of precision nanomedicine has provided promising opportunities to address the critical limitations of conventional cancer therapies, including nonspecific drug distribution, systemic toxicity, insufficient tumor accumulation, rapid clearance, and therapeutic resistance. Among emerging approaches, tumor microenvironment-responsive nanodrug delivery systems have gained significant attention due to their ability to exploit specific pathological characteristics of tumors, including acidic pH, hypoxia, elevated reactive oxygen species, abnormal enzymatic activity, and redox imbalance, for selective and controlled drug release. However, the clinical translation of these multifunctional nanocarriers remains challenging due to the complex and dynamic interactions between nanoparticle physicochemical properties and heterogeneous biological environments. Recent advances in artificial intelligence (AI) have introduced powerful data-driven strategies for overcoming these challenges by enabling predictive modeling, rational nanoparticle design, and optimization of therapeutic performance. This review highlights the integration of AI approaches with tumor microenvironment-responsive nanotechnology for the development of intelligent nanodrug delivery platforms in precision cancer therapy. Machine learning and deep learning algorithms can facilitate the optimization of nanoparticle characteristics, including size, morphology, surface properties, drug-loading efficiency, release kinetics, pharmacokinetic behavior, biodistribution, and tumor-targeting capability. Furthermore, AI-assisted modeling provides opportunities for personalized nanomedicine by integrating complex biological and clinical datasets to predict therapeutic responses and improve treatment selection. The synergistic combination of artificial intelligence and stimuli-responsive nanocarrier engineering represents a transformative strategy for overcoming biological barriers, enhancing therapeutic precision, reducing off-target toxicity, and accelerating the clinical translation of next-generation cancer nanomedicines.

کلیدواژه ها:

Artificial intelligence ، Tumor microenvironment ، Nanodrug delivery systems ، Stimuli-responsive nanoparticles ، Precision cancer therapy ، Personalized nanomedicine.