Aether.ai
Accelerating cancer diagnosis with AI-powered computational pathology and automated image analysis.
Paige (Paige.ai) is a pioneer in computational pathology, recognized for delivering the first FDA-cleared AI for prostate cancer. By 2026, the platform has evolved into a comprehensive oncology intelligence suite powered by Virchow, one of the world's largest AI foundation models for life sciences. Technically, Paige leverages multi-scale vision transformers (ViT) and deep learning algorithms trained on millions of multi-gigapixel whole-slide images (WSI). Its architecture is designed to integrate directly into the pathologist's workflow, providing real-time diagnostic support, automated grading, and biomarker quantification. The platform operates within a secure, cloud-native environment or hybrid on-premise setups, ensuring high-speed rendering of massive image files via the FullFocus viewer. Market-wise, Paige serves as the central nervous system for digital labs, bridging the gap between morphology and molecular pathology to enable precision medicine at scale. Its 2026 position is defined by its ability to not only detect cancer but to predict therapy response and clinical outcomes through AI-driven biomarker analysis.
A multi-scale vision transformer trained on over 1.5 million slides across 40+ tissue types.
Accelerating cancer diagnosis with AI-powered computational pathology and automated image analysis.
Augmented Intelligence for Enhanced Surgical Vision and Decision Support.
The open-source standard for federated medical AI benchmarking and clinical validation.
Clinically-validated AI symptom assessment and care navigation for diabetes management.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
FDA-cleared, high-performance web-based viewer for multi-gigapixel images.
AI-powered detection of HER2-low expression in breast cancer slides.
Automated pre-screening of cases to reorder the pathologist's worklist by urgency.
Open platform allowing third-party AI developers to host clinical tools on Paige's infrastructure.
Pixel-level analysis to calculate Gleason patterns and tumor percentage automatically.
Native support for DICOM formats, enabling interoperability across hospital departments.
Small foci of cancer are often missed on needle core biopsies.
Registry Updated:2/7/2026
Report is auto-generated with Gleason score.
Manual screening of large lymph node sections is time-consuming and prone to fatigue.
HER2 and PD-L1 scoring is subjective and inconsistent.