The cutting-edge technology for
quantifying tumor microenvironment
Training data generated
by immunofluorescence staining
Predict from morphological features better than anywhere else with massively trained wet-based learning models.
Quantification of immune cells
Counting the number of lymphocytes, plasma cells, fibroblasts in Stroma, etc.
Available in PanCancer
Unlimited inferences can be made for PanCancer
Understanding the compositional content within the ROI (Region of Interest)
Users can freely select regions and keep track of cell counts and percentages.
Patient stratification based on quantification data
Our AI can quantify TILs score in arbitrarily selected area
Publications
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AI-based quantification of TILs using hematoxylin and eosin and immunohistochemistry-stained slides in triple-negative breast cancer. American Society of Clinical Oncology (2024)
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Deep learning-based quantitative assessment of tumor-infiltrating lymphocytes from hematoxylin and eosin-stained slides in triple-negative breast cancer: A prognostic study. American Society of Clinical Oncology (2024)
