CARE Foundation Models
Foundation models for characterizing whole-slide images and detecting cancer across 40+ tissue types
Company profile
Company profile
Paige applies the power of foundation models to cancer care, delivering models that set new standards for size, scale and performance in pathology.
Company description Paige AI official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Api Only · Cloud Saas deployment with recorded integration context.
Recorded integration context: Multiple digital pathology platforms mentioned but not specifically named.
Company milestones
Launch of Paige Alba multi-modal co-pilot, Paige GI Suite built on latest foundation model technology, expansion of PanCancer Suite to 40+ tissue types, OmniScreen predicting 1,600+ biomarkers from H&E alone
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Foundation models for characterizing whole-slide images and detecting cancer across 40+ tissue types
AI module for comprehensive tissue characterization and biomarker analysis
Digital biomarker application predicting genomic alterations in 491 genes across multiple cancers
Multi-modal AI co-pilot designed to revolutionize pathology workflows and unlock precision medicine
AI applications for identification and classification of breast cancer on H&E-stained whole-slide images
AI-powered applications for detection and classification across the entire gastrointestinal tract
AI application identifying cancer across 40+ tissue types including rare cancers
End-to-end digital pathology environment with integrated AI applications
AI-powered applications for prostate cancer detection and grading on H&E-stained whole-slide images
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Nature medicine · Jul 31, 2026
Comparing Gleason Pattern 4 Measurement Approaches on Prostate Biopsy Using Machine Learning: A Proof-of-Principle Study.medRxiv : the preprint server for health sciences · Apr 24, 2026
A deployment safety case for AI-assisted prostate cancer diagnosis.Computers in biology and medicine · Jun 1, 2025
A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms.Cancer research · Oct 15, 2024
Proteomic basis for pancreatic acinar cell carcinoma and pancreatoblastoma as similar yet distinct entities.NPJ precision oncology · Oct 3, 2024
Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.Nature methods · Oct 1, 2024
Clinical validation
No linked records are currently available.
Regulatory
DEN200080 · De Novo · Sep 21, 2021
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Paige Prostate Detect validation studies
Paige Prostate Detect
Paige Prostate Detect
Paige Breast Lymph Node
Paige Breast Lymph Node
PanCancer Detect across common and rare cancers
AI-assisted prostate cancer detection and grading to improve diagnostic efficiency and accuracy
21.9% reduction in slide evaluation times, 65.5% reduction in time to diagnosis, 70% reduction in diagnostic error
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on Paige AI's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies applying AI to digital pathology, histopathology slide analysis, laboratory diagnostics, or biomarker discovery. Includes AI-powered interpretation of lab test results, at-home diagnostic devices with AI analysis, and platforms that analyze tissue samples or biological specimens to support clinical diagnosis.
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