Lunit -Model SCOPE PD-L1 -AI Solution for PD-L1 Expression
Quantifying PD-L1 positivity with AI analysis; Finding more PD-L1 positive patients; Counting every PD-L1 positive tumor cell; Complex is what AI does best.
Trained on large datasets reviewed by 150+ pathologists
Lunit SCOPE PD-L1 analyzes every PD-L1 positive tumor cell and generates analysis results close to the ground truth
How AI Improves PD-L1 Assessment
AS-IS (Only Human)
- Discrepancy between pathologists
- Non-reproducible
TO-BE (With AI)
- Objective result
- Reproducible
Objective analysis of PD-L1 positivity using deep learning technology.
* Lunit SCOPE PD-L1 is currently applicable to NSCLC (non-small cell lung cancer) only.
Generated by Lunit SCOPE PD-L1
Detection
Detects tumor cell PD-L1 +/- and inflammatory cell PD-L1 +/- from whole slide images.
Quantification
Calculates PD-L1 positive score including TPS (Tumor Proportion Score) and CPS (Combined Positive Score).
AI Score and Report
Provides AI analysis results including PD-L1 TPS score and map within a report.
STEP 1
Tissue slide (FFPE) slicing & IHC staining
STEP 2
Digitization using a scanner Supports various scanner vendors
STEP 3
File upload to server (both cloud or on-prem)
STEP 4
Lunit SCOPE PD-L1 analysis
- Detection results for visualization
- Quantification results of key features detected
- Final score for response prediction
*Lunit SCOPE PD-L1 is currently available for research use only