AI-ENABLED PATHOLOGY

Our suite of digital pathology solutions use artificial intelligence to help you increase diagnostic confidence, improve workflow efficiency, and uncover deeper insights from every sample.

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Assisted detection across diverse cancer types

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A suite of AI-powered applications that aid in the detection and grading of prostate cancer on H&E-stained whole-slide images.

Paige Prostate Detect was the first AI-based software application in pathology to receive FDA authorization to aid in the primary diagnosis of prostate cancer.*

  • Paige Prostate Detect* | CE-IVDR, FDA-AUTHORIZED

    AI application that helps pathologists find possible cancer in digital images of prostate biopsy slides. Paige Prostate Detect should be used in combination with specific scanners and viewers, and should only be used to support, not replace, a pathologist’s full evaluation.

    Assists in the detection of even minute foci on slides that are suspicious for cancer. Offers high patient-level sensitivity and negative predictive value in cancer detection while decreasing pathologists’ reading times by 20%.1,2

  • Paige Prostate Grade & Quantify | CE-IVDR, RUO
    Categorizes areas suspicious for cancer by Gleason pattern, providing predictions for primary and secondary Gleason grades. It also offers percentage and linear measurements of the tumor burden.
  • Paige Prostate Perineural Invasion (PNI) | CE-IVDR, RUO
    Aids in the detection of suspicious foci around nerve fibers to identify the presence of PNI, helping to streamline the final diagnosis.

* CE-IVDR for use with whole slide images visualized with the Paige FullFocus Image Viewer and digitized with Philips Ultra Fast Scanner, Leica Aperio AT2 Scanner, Leica GT450 Scanner, or Hamamatsu S360 Scanner. In the US, Paige Prostate Detect is FDA-authorized for clinical use. Paige Prostate Detect is a software only device intended to assist pathologists in the detection of foci that are suspicious for cancer during the review of scanned whole slide images (WSI) from prostate needle biopsies prepared from hematoxylin & eosin (H&E) stained formalinfixed paraffin embedded (FFPE) tissue. After initial diagnostic review of the WSI by the pathologist, if Paige Prostate Detect detects tissue morphology suspicious for cancer, it provides coordinates (X,Y) on a single location on the image with the highest likelihood of having cancer for further review by the pathologist. Paige Prostate Detect is intended to be used with slide images digitized with Philips Ultra Fast Scanner and visualized with the Paige FullFocus Image Viewer. Paige Prostate Detect is an adjunctive computer-assisted methodology and its output should not be used as the primary diagnosis. Pathologists should only use Paige Prostate Detect in conjunction with their complete standard of care evaluation of the slide image.

† CE-IVDR for use with whole slide images visualized with the Paige FullFocus Image Viewer and digitized with Philips Ultra Fast Scanner, Leica Aperio AT2 Scanner, Leica GT450 Scanner, or Hamamatsu S360 Scanner. For Research Use Only (RUO) in the US. Not for use in diagnostic procedures in the US.

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A suite of AI-powered applications for research use only to support increasing efficiency in breast cancer detection and staging.

‡ For Research Use Only (RUO). Not for use in diagnostic procedures.

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A groundbreaking application for research use only, capable of identifying foci suspicious for cancer across more than 40 cancer types, developed using Paige’s foundation model for computational pathology.

‡ For Research Use Only (RUO). Not for use in diagnostic procedures.

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We continue to expand our suites of digital pathology solutions for research. Additional AI applications are currently available on a limited basis for research use only feedback.

  • Paige Breast Detect & Subtype | RUO
  • Paige GI Detect & Subtype | RUO
  • Paige GYN Detect & Subtype
  • Paige Bladder Detect & Subtype

‡ For Research Use Only (RUO). Not for use in diagnostic procedures.

Tissue can be scarce, insights don’t have to be

The Paige Predict suite of applications help optimize tissue stewardship and inform testing strategies before exhausting tissue.

Paige Predict: Tissue Optimization | RUO

AI application to help inform research decisions prior to molecular profiling

Forecasts total nucleic acid (TNA) yield from an H&E image to identify samples at risk of NGS failure.

Paige Predict: Biomarker Prediction | RUO

AI application predicting the status of ~1,600 biomarkers across 505 genes from a single H&E slide.

Accelerate biomarker screening across samples

Provides results in approximately 5 minutes to accelerate sample selection for testing across NGS, hotspot testing, IHC, and special stains.

Receive genomic insights across cancer types

Predictions can help researchers prioritize use of tissue, especially in cancers with often limited tissue (e.g., NSCLC) or less well tested indications (e.g., Melanoma, Endometrium).

Enrich cohorts for research at scale

Pre-screen samples for biomarkers of interest to help enable relevant sample identification at scale, supporting research and time to enrollment in clinical studies.

Paige Predict features are for Research Use Only (RUO) and are not for use in diagnostic procedures. Paige Predict results are probabilistic predictions and should not be used to determine treatment eligibility or as evidence of actual biomarker status.

Paige Predict deployed at Tempus

Tempus has deployed Paige Predict applications into our standard NGS lab workflow, with no additional ordering steps required.

Tissue optimization

Tempus has integrated Paige Predict’s tissue optimization capabilities into our clinical laboratory workflow to help our pathologists conserve tissue and maximize the chances of a successful result. This process has reduced tissue utilization by 18% and is expected to lower the overall QNS rate by 15%.5

Biomarker prediction

Paige Predict’s biomarker predictions for 123 clinically relevant features across 16 cancer cohorts have been validated for clinical use as a Tempus laboratory developed test and is performed for eligible xT QNS cases, helping to inform confirmatory testing strategies.

Paige Predict results are probabilistic predictions and should not be used to determine treatment eligibility or as evidence of actual biomarker status.

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Flexible deployment for your laboratory

Choose the deployment model that fits your laboratory’s research needs, with options for integration with your existing platform or our image management system (IMS).

  • Access Paige applications within your current digital pathology ecosystem, maintaining use of your preferred scanner, IMS, and viewer.
  • Use the Paige IMS, a secure, cloud-native platform that includes the FullFocus® Image Viewer*, FullFolio™ case management, and an application marketplace for third-party AI.

*In the United States, FullFocus® is cleared for clinical use with Philips Ultrafast Scanner, Leica Aperio GT 450 DX, and Hamamatsu NanoZoomer S360MD Slide scanner system. FullFocus version 2.29 was not validated for use with images generated with Philips Ultra Fast Scanner.

Paige IMS

Workflow Integration

  • AI-Native Web Viewer

    FullFocus® provides high-performance visualization accessible from any authorized location.

  • Hardware Agnostic

    Seamlessly integrates with existing digital scanners, including Philips, Leica, and Hamamatsu.

  • Cloud-Native Scale

    Flexible case management (FullFolio™) and storage designed for large-scale digital pathology without the need for on-premise hardware.

Featured Content

Our Science

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  • UPCOMING WEBINAR:

    Independent real-world application of a clinical-grade automated prostate cancer detection system

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  • UPCOMING WEBINAR:

    Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

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  • UPCOMING WEBINAR:

    Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases

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  • UPCOMING WEBINAR:

    A foundation model for clinical-grade computational pathology and rare cancers detection

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  1. da Silva, LM, Pereira, EM, Salles PG, et al. Independent real‐world application of a clinical‐grade automated prostate cancer detection system. J Pathol. 2021;254(2):147-158.
  2. Eloy, Catarina, et al. Artificial intelligence–assisted cancer diagnosis improves the efficiency of pathologists in prostatic biopsies. Virchows Archiv. 482.3 (2023): 595-604.
  3. Retamero Juan Antonio, Emre Gulturk, Bozkurt A, et al. Artificial intelligence helps pathologists increase diagnostic accuracy and efficiency in the detection of breast cancer lymph node metastases. Am J Surg Pathol. 48.7 (2024): 846-854.
  4. Vorontsov E, Bozkurt A, Casson A, et al. A foundation model for clinical-grade computational pathology and rare cancers detection. Nat Med 30, 2924–2935 (2024).
  5. Tempus AI, Inc. Data on file. 2025.

Bring AI-enabled pathology to your laboratory

By combining Paige’s industry-leading digital pathology expertise with the broader Tempus ecosystem, we are redefining what’s possible in AI-enabled pathology to empower anatomic and molecular pathologists and researchers worldwide.