AI Risk Models
La Trobe University Launches Its BowelRec AI Tool
La Trobe University researchers developed SÉMIL, an AI model that analyzes digital pathology slides to identify stage 2 bowel cancer patients at greater risk of relapse. The system evaluates tumor growth patterns at the invasive front, a prognostic feature that can be difficult for pathologists to classify consistently.
SÉMIL was trained using 388 stage 3 bowel cancer cases and validated across more than 1,220 stage 2 patients. The model identified a higher-risk group with roughly twice the risk of relapse within five years, independent of established clinical risk factors. Researchers also found that combining SÉMIL’s assessment with a pathologist’s evaluation improved risk classification.
For clinicians, the model could eventually support more individualized follow-up and treatment decisions without requiring additional tissue samples or costly tests. The research reflects growing interest in AI-assisted pathology for cancer risk stratification.
- Source
- Trend Hunter
- Published
- 2026-08-21
- Category
- Ai
- Credited
- mobihealthnews