Peer-reviewedCC BYBiomedicines
Towards a Novel Diagnostic Tool for Autoimmune Rheumatic Diseases: Classification of SLE Using FTIR Spectroscopy and Machine Learning
4 affiliations
- 1Department of Immunology, Royal Preston Hospital, Preston PR2 9HT, UK; (J.V.T.);
- 2Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NT, UK; (S.D.); (A.-V.M.); (I.N.B.)
- 3Center for Education, Science and Technology of the Inhamuns Region, State University of Ceará, Tauá 63660-000, Brazil;
- 4School of Medicine and Dentistry, University of Lancashire, Preston PR1 2HE, UK;
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BibTeX
@article{callery2026towards,
title = {{Towards a Novel Diagnostic Tool for Autoimmune Rheumatic Diseases: Classification of SLE Using FTIR Spectroscopy and Machine Learning}},
author = {Emma L. Callery and Sarah Dyball and Camilo L. M. Morais and Jemma V. Taylor and Anastasia-Vasiliki Madenidou and Ihtesham Ur Rehman and Ian N. Bruce and Anthony W. Rowbottom},
journal = {Biomedicines},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13701543},
note = {CC BY},
}
RIS
TY - JOUR
TI - Towards a Novel Diagnostic Tool for Autoimmune Rheumatic Diseases: Classification of SLE Using FTIR Spectroscopy and Machine Learning
AU - Emma L. Callery
AU - Sarah Dyball
AU - Camilo L. M. Morais
AU - Jemma V. Taylor
AU - Anastasia-Vasiliki Madenidou
AU - Ihtesham Ur Rehman
AU - Ian N. Bruce
AU - Anthony W. Rowbottom
PY - 2026
DA - 2026/09/28
JO - Biomedicines
UR - https://europepmc.org/article/PMC/PMC13701543
SN - 2227-9059
ER -