Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

ABSTRACT Extracellular vesicles (EVs) are essential for host–pathogen interactions, mediating processes such as immune modulation and pathogen survival. Pathogen‐derived EVs hold significant diagnostic potential because of their unique cargo, offering a wealth of potential biomarkers. In this review...

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Bibliographic Details
Main Authors: Lihan Lai, Yun Su, Cong Hu, Zehong Peng, Wei Xue, Liang Dong, Tony Y. Hu
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Aggregate
Subjects:
aggregate materials
biomarkers
extracellular vesicles
machine learning
pathogens
Online Access:https://doi.org/10.1002/agt2.70018
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