Public source
Reviewed 21 Jul 2026
Completeness Fair (31%)
uPath PD-L1 (SP263) image analysis, NSCLC
RocheThe uPath PD-L1 (SP263) image analysis, NSCLC algorithm is an adjunctive computer-assisted tool that identifies PD-L1 negative and positive tumor cells within a pathologist-annotated viable tumor region in images of formalin-fixed, paraffin-embedded neoplastic lung tissue.
Supported by 3 papers
General Information
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Regulatory Information
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In Vitro Diagnostic Directive (IVDD)
Class:
General IVD Devices
Not verified by Health AI Register
Scanner Brands Certified for Use (CE-IVD)
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Evidence & Research
Peer-Reviewed Papers
Comparative performance of <scp>PD</scp>‐<scp>L1</scp> scoring by pathologists and <scp>AI</scp> algorithms
Histopathology · Feb 2025
A preliminary study on the diagnostic performance of the uPath PD-L1 (SP263) artificial intelligence (AI) algorithm in patients with NSCLC treated with PD-1/PD-L1 checkpoint blockade
Pathologica · Oct 2024
Machine-learning-based image analysis algorithms improve interpathologist concordance when scoring PD-L1 expression in non-small-cell lung cancer
Journal of Clinical Pathology · Dec 2023
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Source: Public | First published: Apr 22, 2026 | Last updated: Jul 21, 2026