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September 30, 2025Nepal Journal of NeuroscienceOpen Access

Biomarkers For Early Alzheimer's Disease Diagnosis

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Authors

USUnsa SaleemLiaquat University of Medical & Health Sciences

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Implication

This review highlights biomarkers and neuroimaging techniques for Alzheimer's diagnosis, emphasizing machine learning implications.

Key Points

  • Early identification of alzheimer's disease biomarkers can enhance treatment strategies and management.
  • Both invasive and non-invasive biomarkers—including cerebrospinal fluid and blood-based—are critical for successful diagnosis.
  • Neuroimaging techniques like structural MRI provide essential insights into brain changes associated with alzheimer's disease.
  • Advances in machine learning and wearable sensors may enable personalized early detection methods for future diagnostics.

Cite This Study

Unsa Saleem (2025) studied this question.

synapsesocial.com/papers/68dc12d38a7d58c25ebb112chttps://doi.org/10.3126/njn.v22i2.80007
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Biomarkers in the Early Detection of Dementia: A Systematic Review2026 · 1 citations
  2. 2A new look at blood biomarkers in Alzheimer’s patients2025
  3. 3Current Understanding of Biomarkers for Pre-clinical Diagnosis of Alzheimer's Disease and its Approaches2025 · 1 citations
  4. 4Blood-Based Biomarkers in Alzheimer's Disease: Advancing Non-Invasive Diagnostics and Prognostics2024 · 13 citations
  5. 5[Current Status and Future Perspectives of Biomarkers in Alzheimer's Disease Diagnosis].2025