Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles DOI Creative Commons
Lai Li, Yun Su, Cong Hu

et al.

Aggregate, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

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 biomarkers. In this review, we first discuss the roles derived from various pathogens in interactions summarize latest advancements detection based on EVs. Then, highlight innovative strategies, including novel aggregate materials machine learning approaches, enhancing EV analysis. Finally, challenges field future directions advancing EV‐based diagnostics, aiming to translate these insights into clinical applications.

Language: Английский

Clinical aspects and recent advances in fungal diseases impacting human health DOI Creative Commons
Livio Pagano, Óscar Fernández

Journal of Antimicrobial Chemotherapy, Journal Year: 2025, Volume and Issue: 80(Supplement_1), P. i2 - i8

Published: March 1, 2025

Abstract Fungal diseases are of growing clinical concern in human medicine as the result changes epidemiology, diversity presentation, emergence new pathogens, difficulties diagnosis and increasing resistance to antifungals current available classes. There is a need for high disease awareness among public healthcare physicians, improvement diagnostic methods development drugs from therapeutic classes with an improved profile. In this article, we will explore some key aspects fungal humans provide general overview important topic.

Language: Английский

Citations

0

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles DOI Creative Commons
Lai Li, Yun Su, Cong Hu

et al.

Aggregate, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

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 biomarkers. In this review, we first discuss the roles derived from various pathogens in interactions summarize latest advancements detection based on EVs. Then, highlight innovative strategies, including novel aggregate materials machine learning approaches, enhancing EV analysis. Finally, challenges field future directions advancing EV‐based diagnostics, aiming to translate these insights into clinical applications.

Language: Английский

Citations

0