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AI-Powered Genotype Predictor from H&E

Research Use Only. Not for use in diagnostic procedures
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Rapid AI-powered prediction of tumor genotype from H&E

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Benefits

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Clinical Trials
Quickly pre-screen patients
for clinical trial enrollment 

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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)

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ACTUAL BIOLOGICAL
FEATURE EXTRACTION
(Supervised Learning)

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We can build and fine-tune
models according to your needs

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Quick Development
Performance tests within weeks,
based on the core model

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Flexible Data Sourcing
Rapid sourcing of high quality
data from diverse geographies

Publications featuring

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No Data

Lunit SCOPE IO

AI-Powered Biomarker for Immuno-Oncology

Publication

Making data-driven medicine a reality