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ProductsDiaKwant™ PD-L1

Public source

Reviewed 10 Oct 2026

Completeness Good (44%)

DiaKwant™ PD-L1

DiaDeep

DiaKwant™ PD-L1 automatically detects tumor regions and the surrounding microenvironment on IHC slides. DiaKwant™ algorithm identifies tumor and immune cells, quantifies PD-L1–positive cells, and computes CPS and TPS at the whole-slide level.

"The DiaKwant™ Ki-67, ER, and PR algorithms assist pathologists in evaluating hormonal and proliferative biomarkers."

Supported by 1 paper

General Information

Product name

DiaKwant™ PD-L1

Company

Modality

Histopathology

Main task

Scoring (IHC quantification)

Subspeciality

Multiple

Organ/Specimen source

Breast, Head and Neck, Lung, Stomach

Disease targeted

Breast Cancer, Lung Cancer, Gastrointestinal Cancer, Head and Neck Cancer

Specimen type

Not specified

Staining

IHC

Stain subtype

PD-L1

Regulatory Information

CE-IVD Certification

Pathway:

In Vitro Diagnostic Regulation (IVDR)

Class:

Class C

Not verified by Health AI Register

Scanner Brands Certified for Use (CE-IVD)

Not specified

Scanner Models Certified for Use (CE-IVD)

Not specified

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Not specified

Input

whole slide image

Input format

Not specified

Output

Not specified

Output format

Not specified

Integration

Not specified

Deployment

Not specified

Trigger for analysis

Not specified

Processing time

Not specified

Population

DiaKwant PD-L1 algorithm was validated across six tumor types on whole slide images in breast, lung, and digestive cancers, including NSCLC, SCLC, GC/GEJ, HNSCC, CC, and TNBC.

Viewer systems

Not specified

Market Presence

On market since

April 2026

AI Platforms

Roche Navify, Sectra

Resellers

Sectra

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Public | First published: Jul 27, 2026 | Last updated: Oct 10, 2026