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Digital pathology AI applications for cancer pathology, including Paige Prostate.
Last updated: June 5, 2026
Back to directoryDigital pathology AI company whose Atlas H&E-TME product analyzes whole-slide images for tumor microenvironment profiling in research workflows.
Research and biopharma teams that need quantitative H&E tumor microenvironment features, validation documentation, and controlled data-handling terms.
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Product-specific review. These product-specific signals summarize what the cited sources imply before treating Aignostics as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat Atlas H&E-TME as research-use pathology AI unless Aignostics provides product-specific diagnostic authorization for the intended workflow. |
|---|---|
| Privacy | Verify customer-contract data handling, GDPR scope, ISO 27001 controls, processing location, retention, deletion, and slide-identification handling before upload. |
| Evidence | Review the validation benchmark for each cancer type, tissue segment, cell class, scanner/stain context, and quantitative endpoint used in the research protocol. |
| Workflow | Keep outputs in translational research, biomarker discovery, or study-analysis workflows with scientific review rather than clinical reporting. |
Aignostics describes Atlas H&E-TME as a research-use tumor microenvironment profiling product powered by a histopathology foundation model, with broad cancer coverage, quantitative metrics, validation documents, GDPR and ISO 27001 statements, and an explicit not-for-diagnostic-use limitation.
Not for: Clinical diagnostic use, pathologist signout, treatment selection, or deployment as a regulated diagnostic procedure.
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.