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Smart Nanomedicines for Neurodegenerative Diseases: Empowering New Therapies with Molecular Imaging and Artificial
Jaison Jeevanandam1, Grygoriy Tsenov2, Michael K Danquah3
1Division of Experimental Neurobiology, Preclinical Research Program, National Institute of Mental Health, 250 67, Klecany, Czechia. jaison.jeevanandam@nudz.cz.
Abstract:
Neurodegenerative diseases (NDDs) remain among the most challenging disorders to treat, owing to their multifactorial pathology, limited drug delivery across the blood-brain barrier, and lack of effective disease-modifying therapies. Smart nanomedicines are emerging as powerful tools to overcome these challenges by enabling targeted delivery, controlled release, and enhanced bioavailability of therapeutics. In parallel, advances in molecular imaging, combined with machine learning (ML) and artificial intelligence (AI), are transforming the design, validation, and optimization of nanomedicines. This article integrates the rapidly evolving fields of nanomedicine and AI/ML-driven imaging to evaluate their synergistic potential toward NDD therapy. The capabilities of AI-aided imaging for mapping nanomedicine biodistribution, predicting therapeutic outcomes, guiding nanoparticle design, and ensuring quality control at preclinical and clinical stages in NDDs are discussed. This synergistic approach opens new avenues for precision medicine, enabling personalized and adaptive treatment strategies for Alzheimer's, Parkinson's, and other NDDs by linking smart nanocarriers with intelligent imaging analytics. Hence, this article presents a roadmap for translating AI-guided nanomedicine-integrated imaging platforms into clinically viable solutions, marking a paradigm shift in the diagnosis and treatment of NDDs.
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