AI-assisted SERS virus detection

Deep-learning detection of SARS-CoV-2 from SERS biosensor spectra.

CompletedPeriod: 2021-01 – 2025-06Funding: MUST

Collaboration with National Tsing Hua University and Tokushima-linked partners producing the DeepATsers framework, MUST-ADDER simulation and the AI-SERS-VIRUS software.

Collaborators

Mongolian University of Science and Technology

Members

Nyamdavaa Ankhbayar

Senior Lecturer, Senior Researcher (PhD)

Publications

Journal papers · 2025

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

DOI PDF

Conference papers · 2025

Rapid Detection of SARS-CoV-2 Variants via SERS and Machine Learning

Battamir Adilbish, Ankhbayar Nyamdavaa, Kiran Kaladharan, Gordon Cichon, Fan-Gang Tseng, Tseren-Onolt Ishdorj

IEEE conference, September 2025

Conference papers · 2024

AI Analysis of SERS Biosensor Spectra for COVID-19

Ankhbayar Nyamdavaa, Kiran Kaladharan, Fan-Gang Tseng, Tseren-Onolt Ishdorj

2024 MicroTAS Book of Abstracts

DOI

Conference papers · 2024

A CNN Model for SERS Spectra Detection of SARS-CoV-2 Proteins

Ankhbayar Nyamdavaa, Kiran Kaladharan, Erdene-Ochir Ganbold, Battamir Adilbish, Fang-Gan Tseng, Tseren-Onolt Ishdorj

International Conference on 10th Anniversary of NMIT, New Mongol Institute of Technology