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August 20, 2025Alzheimer s Research & TherapyOpen Access

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease

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Authors

HCHsin‐I ChangChang Gung University MMMi-Chia MaTainan University of Technology KHKuo‐Lun HuangLinkou Chang Gung Memorial Hospital

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Implication

This evaluation reveals the diagnostic accuracy of plasma biomarkers and machine learning for amyloid positivity in Alzheimer’s disease, indicating cost-effective screening options.

Key Points

The combined plasma panel achieved over 92% accuracy in identifying amyloid positivity, improving to 93.4% at early clinical stages.
In a cohort of 371 participants, the multi-class logistic regression model effectively classified amyloid positivity in Alzheimer’s disease.
The study demonstrates that pTau217 alone provides a cost-effective alternative to traditional amyloid PET for early diagnosis.
Integrating plasma biomarkers and machine learning into clinical workflows may enhance early detection and patient stratification in Alzheimer's disease.

Cite This Study

Chang et al. (2025) studied this question.

synapsesocial.com/papers/68af4959ad7bf08b1ead53e4 https://doi.org/10.1186/s13195-025-01851-2

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Implication

This evaluation reveals the diagnostic accuracy of plasma biomarkers and machine learning for amyloid positivity in Alzheimer’s disease, indicating cost-effective screening options.

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease

Discussion

Member takes

Implication

Key Points

Cite This Study

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease

Discussion

Member takes

Implication

Key Points

Cite This Study

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