
Lyzeum Ltd provides AI-driven analysis to speed and improve accuracy of duodenal biopsy diagnoses. It uses automated computational analysis of tissue images to distinguish clearly normal samples from signs of coeliac disease. The system outputs interpretable results, including cell counts, to support clinical decision-making. This is B2B diagnostic software targeting pathology labs and healthcare institutions. Developed as a University of Cambridge spin-out, the approach aims to scale diagnostic throughput while preserving pathologist-level accuracy.

Lyzeum Ltd provides AI-driven analysis to speed and improve accuracy of duodenal biopsy diagnoses. It uses automated computational analysis of tissue images to distinguish clearly normal samples from signs of coeliac disease. The system outputs interpretable results, including cell counts, to support clinical decision-making. This is B2B diagnostic software targeting pathology labs and healthcare institutions. Developed as a University of Cambridge spin-out, the approach aims to scale diagnostic throughput while preserving pathologist-level accuracy.