Aibion Technologies develops intellegent systems for decision making support in pathology and oncology diagnostics
Our solutions are based on the state-of-the-art deep learning and computer vision algorithms
Our models are trained on the huge amount of whole slide images obtained from the medical laboratories
Our main goal is to provide pathologists with the intelligent tool which improves the accuracy and efficiency of the diagnostic process

Neuroblastoma (HM001) module allows to define the histologic type of the tumor and to calculate quantitative parameters on the basis of the whole slide image.
The proportions of neuroblasts (differentiating and non-differentiated), ganglion cells (mature and immature), Schwann cells and neuropile are essential features for the tumor classification. Mitotic index is a tumor proliferation score which determines disease agressiveness and response to chemotherapy.
Aibion Technologies has developed AI solution which enables automatic detection and classification of seven cell types, neuropile and Schwann cels identification, automatic localization of mitotic or apoptotic cells. Currently the solution is being prepared for the clinical trials.




Accuracy
Better precision compared to the classical pathology diagnostics
Completeness
The solution processes the entire whole slide image without skipping areas
Effectiveness
Implementation of the module significantly reduces the whole slide analysis time

Medtech startup AIBION analyzes a digital copy of an image of human biomaterial
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