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

Internet

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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