Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology

Abstract Extracellular vesicles (EVs) are emerging as naturally bioactive nanomaterials with intrinsic biocompatibility and targeting potential. Recent integration of machine learning (ML) into EV research has accelerated advances in molecular profiling, structure–function prediction, and rational d...

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Bibliografski detalji

Glavni autori:	Ashutosh Tiwari, Widodo, Dyah Ika Krisnawati, Kai-Yi Tzou, Tsung-Rong Kuo
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-01-01
Serija:	Journal of Nanobiotechnology
Teme:	Extracellular vesicles (EVs) Smart nanotherapeutics Machine learning in nanomedicine Bioinspired nanomaterials AI driven materials design Targeted drug delivery platforms
Online pristup:	https://doi.org/10.1186/s12951-025-03952-4
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