AI-enabled Digital Pathology
Overview
Our suite of AI-enabled digital pathology solutions use artificial intelligence to help you increase diagnostic confidence, improve workflow efficiency, and uncover deeper insights from every sample.
Assisted detection across diverse cancer types

Paige Prostate
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.

Paige Breast
A suite of AI-powered applications for research use only to support increasing efficiency in breast cancer detection and staging.
Paige Breast Detect & Neoplasm† | RUO
Highlights areas most likely to harbor cancer and in situ neoplasms, focusing your review on critical regions of the slide.
Paige Breast Mitosis† | RUO
Identifies mitotic hotspots and provides a count and density of mitotic instances, allowing you to easily review individual mitotic figures to aid in grading.
Paige Breast Lymph Node† | RUO
Detects foci suspicious for breast cancer in lymph node specimens: a study of anatomic pathologists demonstrated that use of Paige Breast Lymph Node improved pathologist sensitivity while cutting slide read times by over half.3

Paige PanCancer
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.
Paige PanCancer Detect† | RUO
Detect suspicious tissue across more than 40 cancer types to support your research with pre-screening of all biopsy and resected tissue, or as a second review for quality control. Achieved 0.95 specimen-level AUC across nine common and seven rare cancers.4
Limited Feedback Release
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
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 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%.5Biomarker 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.
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.
Deployment
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.
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 resources
Our science
References
- 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.
- Eloy, Catarina, et al. Artificial intelligence–assisted cancer diagnosis improves the efficiency of pathologists in prostatic biopsies. Virchows Archiv. 482.3 (2023): 595-604.
- 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.
- 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).
- Tempus AI, Inc. Data on file. 2025.
This is AI-enabled precision medicine
This is the future of healthcare.