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AI-Powered
Genotype Predictor
from H&E
Research Use Only. Not for use in diagnostic procedures
Rapid AI-powered prediction of tumor genotype from H&E
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Benefits
Clinical Trials
Quickly pre-screen patients
for clinical trial enrollment
Drug Development
Develop novel AI signatures from H&E to
predict therapy response and resistance
Lunit Announces Collaboration with AstraZeneca to Develop
AI-Powered Digital Pathology Risk Assessment Tools for NSCLC
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Based on
H&E slide analysis,
Lunit SCOPE GP offers insights into tumor
genomics and molecular characteristics
Genomic Aberration
NSCLC driver mutations
(EGFR, ALK, RET, ROS1, etc)
NSCLC: KRAS
(incl. G12C)
NSCLC: MET mutation
(exon14 skipping)
BRCA1/2 mutation
HRD score
MSI-H, or High TMB
(>10mut/Mb)
Genomic Signatures
IFN-y signature
TGF-b signature
Intratumoral
heterogeneity
Copy number aberration
+ any genomic
abberation
Key Features
Lunit SCOPE GP is developed with multiple methods in
a novel way to improve performance
Combining Unsupervised + Supervised Learning to improve predictive power
FOUNDATION MODEL-BASED
FEATURE EXTRACTION
(Self-supervised Learning)
ACTUAL BIOLOGICAL
FEATURE EXTRACTION
(Supervised Learning)
We can build and fine-tune
models according to your needs
Quick Development
Performance tests within weeks,
based on the core model
Flexible Data Sourcing
Rapid sourcing of high quality
data from diverse geographies
Publications featuring
No Data
Lunit SCOPE IO
AI-Powered Biomarker for Immuno-Oncology
Publication
Making data-driven medicine a reality