Revolutionizing Neurodegenerative Disease Management: The Synergy of AI and Pharmacy.

Abstract

Neurodegenerative diseases, including Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis (ALS), represent major healthcare challenges worldwide. Despite advances in diagnosis and treatment, these conditions remain incurable, and there is a need for more effective management strategies. The integration of artificial intelligence (AI) in healthcare has emerged as a promising solution, offering new approaches to diagnosis, personalized treatment, and patient care. This paper explores the potential of AI to revolutionize the management of neurodegenerative diseases, with a focus on its synergistic role in pharmacy. By leveraging AI in drug discovery, personalized treatment plans, and clinical decision-making, AI can enhance therapeutic outcomes and improve patient quality of life. The study reviews the current landscape of AI applications in neurodegenerative disease management, with a focus on pharmacy-related interventions. The review includes AI-driven approaches in genomics, biomarkers, drug repurposing, and clinical trials. It also examines AI's role in optimizing pharmaceutical care, improving medication adherence, and tailoring treatments based on individual genetic profiles. AI has demonstrated its capability to analyze vast datasets, from genetic information to clinical records, to identify novel drug targets and predict patient responses to specific therapies. The use of AI in precision medicine has enabled more accurate diagnosis and has facilitated the development of personalized treatments for neurodegenerative diseases. Additionally, AI tools are enhancing medication management by providing personalized therapy adjustments and improving adherence. AI offers transformative potential for the future of neurodegenerative disease management. Its integration into pharmacy practice promises more effective, individualized treatments, accelerating drug discovery, and optimizing patient care. As AI technologies continue to advance, their role in managing complex neurological disorders will become increasingly vital.