A novel cross-validated machine learning based Alertix-Cancer Risk Index for early detection of canine malignancies
These results demonstrate that the novel Alertix-CRI could be used as a decision-support tool helping clinicians to early differentiate dogs with malignant diseases from healthy. Additionally, these findings would facilitate the advancement of more precise and dependable diagnostic tools for early cancer detection and therapy monitoring within the realm of veterinary medicine.
Authors
- Reza Arabi Belaghi (ORCID: https://orcid.org/0000-0002-6989-9267)
- Liya Wang (ORCID: https://orcid.org/0000-0002-4500-5230)
- Sara Saellström (ORCID: https://orcid.org/0000-0001-5253-5830)
- Kiran Kumar Jagarlamudi
- Henrik Rönnberg (ORCID: https://orcid.org/0000-0001-6098-5364)
- Hanan Sharif
- Staffan Eriksson
Institutions
- Swedish University of Agricultural Sciences (SE)
- 1928 Diagnostics (Sweden) (SE)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-04-25
- DOI
- https://doi.org/10.3389/fvets.2025.1570106
- Citations
- 5
- Primary Topic
- Veterinary Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 7.59
Funders
- Colorado State University