A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects

A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects

Abstract Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called AI Recognition of Viral CPE (AIRVIC), specifically designed...

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Bibliographic Details
Main Authors: Zeynep Akkutay-Yoldar, Mehmet Türkay Yoldar, Yiğit Burak Akkaş, Sibel Şurak, Furkan Garip, Oğuzcan Turan, Bengisu Ekizoğlu, Osman Can Yüca, Aykut Özkul, Barış Ünver
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
BoAHV-1
BoGHV-4
BPIV3
BAdV-1
CPE
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-89639-0
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https://doi.org/10.1038/s41598-025-89639-0

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