Research Journal of Cell Sciences
Advanced Diagnostics for Neurodegenerative Diseases: A Future Perspective
Abstract
Chur Chin
The accurate and early diagnosis of neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) remains a significant challenge in neurology [1,2]. Current diagnostic methods often rely on clinical symptoms, which typically manifest after substantial neurodegeneration has already occurred [3]. Emerging technologies, however, promise a transformative shift towards pre-symptomatic detection and personalized therapeutic strategies. This section explores the synergistic potential of AlphaFold, quantum and theoretical gravitational computation, and advanced biosensing (DNA, graphene, isotopes) integrated with artificial intelligence (AI) feedback for identifying pathogenic proteins like neurofibrillary tangles and alpha-synuclein aggregates.