Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies
Alanna M. Klose, Christopher A. Beck, Stephen L. Kates, Gowrishankar Muthukrishnan, Edward M. Schwarz, Benjamin L. Miller · 2026
Read Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies by Alanna M. Klose, Christopher A. Beck, Stephen L. Kates, Gowrishankar Muthukrishnan, Edward M. Schwarz, Benjamin L. Miller (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13234818.txt.
Description
Six researchers, led by Alanna M. Klose, published a medical study in 2026 on a new blood test for a dangerous germ. The germ, Staphylococcus aureus, causes serious infections, including infections in bone. Finding it now often means taking tissue samples and waiting days for lab cultures to grow. Blood tests on hand do not work well for bone cases.
The team built a test that reads two kinds of signals at once. It measures six signaling proteins and nineteen antibodies aimed at the germ, all on one small platform. They ran the test on blood from 429 patients, some with confirmed infection and some healthy. One protein alone gave decent accuracy. A mix of five signals did best, sorting infected from healthy patients with strong accuracy. The work points toward faster, less invasive diagnosis.
Catalog record
| CREATOR | Alanna M. Klose, Christopher A. Beck, Stephen L. Kates, Gowrishankar Muthukrishnan, Edward M. Schwarz, Benjamin L. Miller |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |