Predicting immunotherapy outcome with AI analysis; Finding more responders to cancer treatment; Tissue Data is huge and complex; Complex is what AI does best.
Lunit is one of the few companies with high-level tissue data analysis technology. We provide not only detection of features, but link it to clinical outcomes, developing biomarkers specific to drugs.
Generated by Lunit SCOPE IO
Detection & Quantification
Detects intratumoral TILs and stromal TILs from whole slide images.
3 Immune Phenotype Map Generation
Classifies three immune phenotypes—inflamed, excluded, desert.
AI Score & Cutoff
Calculates AI biomarker score based on the phenotype map. If the score is higher than the cut-off value, it indicates that the patient would be more likely to respond to immunotherapy.
Tissue Slide (FFPE)
Pre-treatment & H&E staining
Digitization using a scanner
Supports various scanner vendors
File upload to server
(both cloud or on-prem)
Lunit SCOPE IO analysis
- Detection results for visualization
- Quantification results of key features detected
- Final score for response prediction
- Turnaround time: <10 min
*Lunit SCOPE IO is currently available for research use only