DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus

DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus

Abstract The integration of Artificial Intelligence (AI) techniques with medical kits has revolutionized disease diagnosis, enabling rapid and accurate identification of various conditions. We developed a novel deep learning model, namely DeepATsers based on a combination of CNN and GAN to employ a...

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Bibliographic Details
Main Authors: Ankhbayar Nyamdavaa, Kiran Kaladharan, Erdene-Ochir Ganbold, Seungdo Jeong, Seonuck Paek, Yansen Su, Fan-Gang Tseng, Tseren-Onolt Ishdorj
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Deep learning
CNN
GAN
Dataset augmentation
SERS
SARS-CoV-2 proteins
Online Access:https://doi.org/10.1038/s41598-025-96557-8
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https://doi.org/10.1038/s41598-025-96557-8

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