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Exosome Structures Supported by Machine Learning Can Be Used as a Promising Diagnostic Tool

Principal component analysis (PCA) as a machine-learning technique could serve in disease diagnosis and prognosis by evaluating the dynamic morphological features of exosomes via Cryo-TEM-imaging. This hypothesis was investigated after the crude isolation of similarly featured exosomes derived from...

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Detalles Bibliográficos
Autores principales:	Cansever Mutlu, Esra, Kaya, Mustafa, Küçük, Israfil, Ben-Nissan, Besim, Stamboulis, Artemis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693854/ https://www.ncbi.nlm.nih.gov/pubmed/36431454 http://dx.doi.org/10.3390/ma15227967

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