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Peer-reviewedCC BYBiomedicines

Towards a Novel Diagnostic Tool for Autoimmune Rheumatic Diseases: Classification of SLE Using FTIR Spectroscopy and Machine Learning

4 affiliations
  1. 1Department of Immunology, Royal Preston Hospital, Preston PR2 9HT, UK; (J.V.T.);
  2. 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.)
  3. 3Center for Education, Science and Technology of the Inhamuns Region, State University of Ceará, Tauá 63660-000, Brazil;
  4. 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  -