At, we are determined to create a comprehensive AI-based tool, which will dramatically improve the accuracy of decision-making during the diagnostics in digital pathology. By combining highly accurate neural networks with an advanced diagnostic software, we create a new step in diagnostic process, which will improve the accuracy and save a lot of time for a specialist.

Our first solution on prostate cancer detection will provide a pathologist with the initial overview of the particular case, marking out all the biomarkers, which indicate the cancer presence. Other neural networks evaluate the numbers, providing the accurate Gleyson score and prognosis for the cancer, providing the essential for a more precise diagnostics. Other than that, we plan to create more solutions for digital pathology by 2021 in these particular areas:

  • Breast cancer
  • Skin cancer
  • Colon cancer

These are the types of oncology, which are the most widespread but still complicated for diagnostics types of oncology.