Neurodegenerative diseases (NDs), such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS), are characterized by progressive neuronal dysfunction and loss, leading to cognitive and motor impairments. Despite decades of research, effective disease-modifying therapies remain elusive, mainly due to complex pathophysiology, genetic heterogeneity, and translational challenges in drug discovery. Drug repurposing identifying novel therapeutic applications for existing drugs offers an efficient, cost-effective, and faster route for therapy development. Advances in artificial intelligence (AI) and pharmacogenomics are transforming this paradigm by enabling integrative data mining, predictive modeling, and patient stratification. This review highlights recent developments in AI-driven drug repurposing pipelines, the role of pharmacogenomic profiling in precision medicine, and emerging case studies demonstrating successful application of these approaches. Finally, we discuss future opportunities and challenges in integrating AI and pharmacogenomics to establish a robust framework for personalized therapeutics in neurodegeneration.
Neurodegenerative diseases, Drug repurposing, Artificial intelligence, Pharmacogenomics, Precision medicine.
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