Abstract
Alzheimer's disease is a multifaceted neurodegenerative disorder with no definitive cure, posing significant challenges in treatment. Recent advancements in drug delivery systems, particularly through nanotechnology, and the integration of artificial intelligence and machine learning, have offered promising new avenues for enhancing AD management. Nanoparticle-based drug delivery systems are being utilized to improve the targeting and bioavailability of therapeutic agents, allowing more efficient crossing of the blood-brain barrier. Concurrently, AI-driven approaches are being employed to facilitate early diagnosis, optimize treatment strategies, and predict patient outcomes by analyzing complex datasets, including brain imaging and biomarker data. Also, a multidrug, multi-target treatment approach, similar to chemotherapy, is emerging as a potential strategy for addressing the complexity of AD. This review discusses the various AI and nanotechnology-driven innovations in AD, the current challenges in treatment, and the future directions for research. Continued exploration of these technologies, combined with early detection, lifestyle interventions, and precision medicine, holds the potential to revolutionize AD care, minimizing disease recurrence and enhancing patient quality of life.