Why AIRATox?
Built on our foundational self-supervised learning (SSL) model, trained on 130,000 unlabeled whole slide images (WSIs) across six species, over 200 abnormalities, multiple stains, scanner types, and magnifications from more than 40 labs
Screen, Triage, and Quantify with AIRATox
Automated Artefact Analysis
Quality Control
- Automated identification and quantification of artefacts in WSIs
- Get images with QC results only for slides meeting predefined thresholds
Anomaly Scores and Image-Level Heatmap
Tissue Triage
- Triage abnormal images within a study using concurrent or historical controls
- Assess anomaly distribution across dosage groups with anomaly scores and image-level heatmaps
Detailed Annotations and Quantitative Results
Abnormality Quantification
- Detect and quantify histopathological abnormalities using pre-trained solutions
- Get annotation and quantification results for detected abnormalities