AI-powered pathology intelligence for cancer diagnostics
Paige is an AI platform that assists pathologists in detecting and analyzing cancer in digital pathology slides.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Paige is a clinical-grade artificial intelligence platform designed to support pathologists in the detection, diagnosis, and analysis of cancer through digital pathology. The platform uses deep learning models trained on large datasets of pathology images to identify clinically significant findings. Paige is FDA-authorized and targets use in hospital and laboratory settings.
A multi-modal co-pilot that integrates AI with voice and text commands to streamline pathologists' cancer detection and diagnosis workflows and provide real-time insights.
A set of AI applications designed to support pathologists in the identification and classification of breast cancer on H&E-stained whole-slide images from breast biopsy and excision specimens.
A portfolio of AI-powered applications designed to support pathologists in the detection and classification of benign and malignant conditions across the entire gastrointestinal tract.
An AI suite trained on over 1.5 million slides that helps pathologists identify subtle complexities of cancer in multiple tissue types, including rare cancers.
A group of comprehensive AI applications that aid in the detection and diagnosis of prostate cancer on H&E-stained whole-slide images of prostate needle biopsies.
Pre-built pan-cancer modules that enable precise therapeutic targeting, novel biomarker identification, and optimized clinical trial design.
AI technology that reveals multiple molecular biomarkers directly from tissue samples without requiring separate molecular testing.
Proprietary foundation models including Virchow, Virchow2, Virchow2G, and Virchow2G-Mini that eliminate the need for task-specific training to accelerate computational pathology AI development.
A foundation model technology developed by Paige as part of its suite of computational pathology AI models for cancer research and diagnostics.
Services for developing customized prognostic or predictive AI models leveraging Paige's foundation model technology while adhering to privacy, security, and clinical standards.
Comprehensive services that help partners navigate regulatory hurdles and develop a strategy for bringing computational pathology AI applications to market.
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Common questions answered by our AI research team
The Paige PanCancer Suite is trained on over 1.5 million slides (using the Virchow foundation model) and helps pathologists identify cancer across multiple tissue types. It explicitly supports rare cancer detection, described as able to "identify the most subtle complexities of cancer in multiple tissue types including rare cancers." Specific tissue types covered are not enumerated in the content.
The content states that licensing Paige's foundation models enables custom AI model development that adheres to "the highest standards of privacy, security, and clinical excellence," but no specific privacy frameworks, certifications, or security standards are detailed.
Paige is a New York-based healthcare AI company that builds diagnostic tools for cancer pathology.