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Breast PR AI
PR IHC digital slide (left) with Breast PR AI markup (right) identifying negative (blue), weak (yellow), moderate (orange), and strong (red) cells. Tumor boundary highlighted with red lines.

Breast PR AI

Developed by Indica Labs, the Breast PR AI solution leverages deep learning that standardizes scoring of progesterone receptor (PR) in resections, excisions, or biopsies from primary invasive breast cancer samples. The algorithm reports quantitative results and markup images, including tumor detection, intensity score, Allred score, and percentage of weak, moderate, and strong positive PR cells.

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Breast PR AI is For Research Use Only and not intended for clinical diagnostic use. Breast PR AI accessed via the Aperio HALO AP image management system.

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Breast PR AI in Aperio HALO AP Demonstration

Explore the future of pathology with the Breast PR AI app from Indica Labs. Breast PR AI seamlessly integrates within the Aperio HALO AP enterprise digital pathology platform to identify and score PR tumor cells in primary invasive breast cancer samples.

After selecting, view the IHC slide in the viewer and the Breast PR AI results. Results include overlays and quantitative results. The first set of overlays prepare the tissue for analysis by identifying areas of analyzable tissue. The next overlay identifies areas of tumor in the tissue. The final overlay identifies and classifies cells for PR positivity within the tumor area. Finally, quantitative results at a per slide level are displayed in the assay panel to the right.

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