DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus
Ankhbayar Nyamdavaa, Kiran Kaladharan, Erdene-Ochir Ganbold, Seungdo Jeong, Seonuck Paek, Yansen Su, Fan-Gang Tseng, Tseren-Onolt Ishdorj — Scientific Reports 15, 12245, 2025
DeepATsers combines a CNN with a GAN for data augmentation to identify SARS-CoV-2 S, N and VLP proteins from one-pot SERS biosensor spectra, reaching 0.975 accuracy and generalising to independent Omicron spectra.
healthcare-aideep-learning
BibTeX
@article{nyamdavaa2025deepatsers,
title = {DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus},
author = {Ankhbayar Nyamdavaa and Kiran Kaladharan and Erdene-Ochir Ganbold and Seungdo Jeong and Seonuck Paek and Yansen Su and Fan-Gang Tseng and Tseren-Onolt Ishdorj},
journal = {Scientific Reports 15, 12245},
year = {2025},
doi = {10.1038/s41598-025-96557-8},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11985927/}
}