AI-Driven Healthcare and Health Informatics: Machine Learning, Nan carrier Drug Delivery, Computational Methods, Cybersecurity, and Quality Assurance

Abstract

Combining Artificial Intelligence (AI), machine learning (ML), and health informatics are transforming the contemporary healthcare through the provision of predictive, personalized, and effective patient care. Combined with nanocarrier-based drug delivery systems, such as cubosomes, phytosomes, SMEDDS, and organogels, computational pharmacology maximizes the solubility, bioavailability, and target delivery of drugs. At the same time, the strong cybersecurity solutions and quality assurance systems guarantee the integrity of the data, its models, and their compliance with the various regulations. This review outlines interdisciplinary innovations that have brought AI, computational modeling, and pharmaceutical innovation together and the transformative potential in precision medicine. The future directions are aimed at addressing the issues of data heterogeneity, ethics, and clinical translation.