Enhanced health evaluation in mice using continuous home-cage monitoring and machine learning: a multicentric study
Jeetendra Eswaraka, Céline Gommet, Dimitri Diomaiuta, Mara Rigamonti, Giorgio Rosati, Stefano Gaburro, Michael Zwick, Laurent Bégoud, Xavier Warot, Raphaël Doenlen · 2026
Read Enhanced health evaluation in mice using continuous home-cage monitoring and machine learning: a multicentric study by Jeetendra Eswaraka, Céline Gommet, Dimitri Diomaiuta, Mara Rigamonti, Giorgio Rosati, Stefano Gaburro, Michael Zwick, Laurent Bégoud, Xavier Warot, Raphaël Doenlen (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-13318627.txt.
Description
Jeetendra Eswaraka and colleagues test, in 2026, whether continuous cage monitoring with machine learning catches illness in laboratory mice earlier than human checks. Daily visual inspection happens while mice sleep and lasts only moments, so subtle signs are missed. Reduced movement was proposed as an early warning signal.
Movement data gathered by the same sensor system at three institutions were analysed retrospectively. Learning models generated alerts that were checked against clinical records. The models flagged animals in distress three to six days before signs were noticed or death occurred, with accuracy rising the earlier the alert was judged. The authors argue that pairing visual checks with automated monitoring improves welfare, sharpens study endpoints and makes research more reproducible, while also saving staff time.
Catalog record
| CREATOR | Jeetendra Eswaraka, Céline Gommet, Dimitri Diomaiuta, Mara Rigamonti, Giorgio Rosati, Stefano Gaburro, Michael Zwick, Laurent Bégoud, Xavier Warot, Raphaël Doenlen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |