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Machine learning algorithms for plasma AD biomarkers implementation in two real-world cohorts

2026-03-12

Abstract excerpt

<title>Abstract</title> <p>Background. Blood-based biomarkers (BBMs) have shown high accuracy for Alzheimer’s Disease (AD) diagnosis in highly selected cohorts. In view of the introduction of plasma biomarkers in larger cohorts in real-world clinical settings, we wanted to assess whether machine learning (ML) approaches could generate reliable cutoffs for BBMs, independently from the availability of CSF or Aβ-PE...

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Literature Corpus work: 7f7bbdb8-fa60-594c-8fb7-769a1e91f95f
DOI: 10.21203/rs.3.rs-8987177/v1

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