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Modern methodologies can serve a pivotal role in fulfilling the crucial need for timely detection and intervention in this context.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Evaluate early detection's significance and summarize key technologies (biomarkers, neuroimaging, AI\/ML, genetics, digital health) for enhanced diagnostic strategies in AD and PD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study employs a focused descriptive review approach, encompassing analysis of peer\u2010reviewed articles and clinical trials from existing literature, to provide a nuanced exploration of the subject matter.<\/jats:p><\/jats:sec><jats:sec><jats:title>Findings<\/jats:title><jats:p>This review underscores the efficacy of non\u2010invasive biomarkers, biosensors and emerging promising technologies for advancing early diagnosis of AD and PD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The landscape of early NDD detection has been reshaped by technology, yet challenges persist, encompassing the domains of validation and ethics. 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