Neurodegenerative diseases (NDD), a collection of disorders with different underlying causes and clinical presentations, are recognized as a major area of concern of our society today. The most common NDD are Parkinson's disease (PD), Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), and Huntington's disease, each one of them being characterized by the progressive degradation of nerve cells and accumulation of misfolded and aggregated proteins in the affected brain region. Diagnosing NDD is challenging, due to the heterogeneity of the disease and the overlap of symptoms. Yet, early detection and accurate diagnosis are crucial for effective NDD management. With the emergence of disease-modifying therapies for AD, monitoring disease progression and treatment success is becoming essential. The future of NND diagnostics is focusing on developing less invasive, cost-effective strategies that enable early NDD identification and detection with improved patient outcomes. The integration of biotechnology and nanotechnology is seen as crucial for advancing the analytical science aspect of NDD. The creation of these innovative tools and methodologies is on the verge of enabling new possibilities for clinical diagnostics, but is also faced with several hurdles that will be critically evaluated.
Keywords: Biomarkers, Diagnostics; Multiplexed; Neurodegenerative diseases; Point of care.
© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.