Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease.

Journal: International journal of molecular sciences
Published Date:

Abstract

BACKGROUND: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on cognitive tests, imaging techniques and cerebrospinal fluid (CSF) levels of amyloid-β1-42 (Aβ42), total tau protein and hyperphosphorylated tau (p-tau). However, the available methods are expensive and relatively invasive. Artificial intelligence techniques like machine learning tools have being increasingly used in precision diagnosis.

Authors

  • Chun-Hung Chang
    Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan.
  • Chieh-Hsin Lin
    Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.
  • Hsien-Yuan Lane
    Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.