AI Cancer Detection Tools Added to Pathology Store
New digital pathology software now helps streamline how labs review cancer cases.
Updated on Oct. 1, 2026 in Cancer
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Leica Biosystems has added Paige PanCancer Detect and Paige Prostate applications to its Aperio AI Store. These digital tools are designed to support cancer detection within the Aperio HALO AP image management system.
Why it matters
Individual AI pathology algorithms often arrive with separate viewers and licensing systems, complicating laboratory workflows. By integrating these tools into one system, pathologists can access advanced diagnostic support without switching between platforms.
A diagnostic validation study showed a specimen-level area under the curve of 0.95 across 16 cancers, based on the Virchow model trained on 1.5 million slides from 100,000 patients. All applications currently hosted in the store are categorized as research use only.
The players
Leica Biosystems
A developer of anatomical pathology products, including the Aperio image management system.
Paige
A company specializing in AI-driven diagnostic software for cancer pathology.
Tempus
A technology company focused on data-driven precision medicine and oncology diagnostics.
The details
The Virchow model utilizes foundation learning to identify general tissue features across 40 cancer types. By automating the screening of digitized tissue slides, these algorithms identify potential areas of interest, which study data suggests can reduce slide reading time by 20 percent. The Aperio AI Store unifies these partner algorithms into a single image management system for standardized laboratory review.
Timeline
October 16-18, 2026: The applications will be demonstrated at Pathology Visions 2026 in San Diego.
Health Landscape
The integration of AI diagnostic tools into standardized pathology management systems represents a shift toward centralized digital diagnostics. This follows a pattern set by the FDA-authorized Paige Prostate Detect platform by expanding access to AI-aided diagnostics within clinical ecosystems.
These tools are currently for research use only and do not change immediate clinical care for patients. If you are concerned about your pathology report accuracy, the best step remains discussing specific findings directly with your oncologist.
The takeaway
AI tools for pathology are evolving toward more unified systems that help reduce the time pathologists spend on slide review. Ask your physician if digital pathology review is a standard part of the diagnostic workflow at your local laboratory.
Further reading
For more on the latest diagnostic innovations, visit our Cancer section.
Source note: This article includes information reported by The Scientist.
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