PathologyAI
AI‑driven digital pathology analysis. PathologyAI analyzes whole‑slide images at high magnification, detects cellular abnormalities, grades malignancies and quantifies biomarkers with precision, helping pathologists deliver diagnoses faster and more consistently.
PathologyAI converts high‑resolution tissue slides into actionable diagnostic insights. The system ingests whole‑slide images in common formats (SVS, NDPI, MRXS) and uses deep‑learning models to automatically identify histological features such as cellular atypia, mitotic figures and tumor infiltration. It classifies and grades cancers, quantifies biomarkers and detects regions of interest, offering pathologists objective support for diagnosis and prognosis. Real‑time AI analysis shortens diagnostic turnaround times and facilitates early tumor detection, especially in resource‑limited settings. Unsupervised learning techniques discover associations between morphological features and molecular aberrations, aiding novel biomarker discovery and advancing precision medicine. By automating routine slide review, PathologyAI enables pathologists to process cases more efficiently while maintaining high diagnostic accuracy.