TLS Detect
RUO*
Tertiary Lymphoid Structures
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A research tool that uses AI to detect the presence or absence of TLS across tumor types from digital H&E slides
Pan-tumor
Suitable for tumor specimens across multiple indications
Intended users
Researchers in a non-clinical routine setting
Digital pathology
Works with tumor tissue on digitized H&E slides
Sensitivity**
Externally validated high sensitivity
TLS Detect
A pre-screening tool to determine the presence of TLS in a research setting
A simple and standardized approach to detect TLS from routine digitized H&E slides.
Case study
TLS Status: discover how we developed our deep learning method
Prediction of patient’s TLS status from H&E whole slide images in pan-cancer cohort.
* Research tool only not to be used for diagnostic purposes
**97% sensitivity was achieved through validation on an external dataset (n=157 patients)
**97% sensitivity was achieved through validation on an external dataset (n=157 patients)
Manufacturer: Owkin France. Information updated on 6th June 2024 - Version W004V1