Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of <i>S. aureus</i> Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies
infection, although further external validation with an independent data set is recommended. We anticipate that this approach will also have significant value in diagnosis of other bacterial or viral infections.
Authors
- Alanna Klose (ORCID: https://orcid.org/0009-0009-6967-3581)
- Stephen L. Kates (ORCID: https://orcid.org/0000-0003-0005-8694)
- Christopher A. Beck (ORCID: https://orcid.org/0000-0003-0672-0730)
- Benjamin L. Miller (ORCID: https://orcid.org/0000-0001-9168-8047)
- Gowrishankar Muthukrishnan (ORCID: https://orcid.org/0000-0001-7521-6154)
- Edward M. Schwarz (ORCID: https://orcid.org/0000-0002-4854-9698)
Institutions
- Virginia Commonwealth University (US)
- University of Rochester Medical Center (US)
- NIHR Oxford Musculoskeletal Biomedical Research Centre (GB)
- University of Rochester (US)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2026-05-16
- DOI
- https://doi.org/10.1021/acs.analchem.6c00764
- Primary Topic
- Advanced Biosensing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute of Arthritis and Musculoskeletal and Skin Diseases