Celsus. Digital Pathology

MVP
AI platform for analyzing digitized histological slides

Research work with the Nizhny Novgorod oncological dispensary

Analysis

The system identifies malignant cell mitosis in the histological slides
of lymph nodes

Interpretation

The system calculates the cancer
probability
 based on the quantity
of detected abnormal cells

Speed

A study is processed
in no more than 10 minutes

Accuracy

Testing and calculation of representative metrics on a large dataset are in progress

Analysis

The system identifies malignant cell mitosis in the histological slides
of lymph nodes

Interpretation

The system calculates the cancer
probability
 based on the quantity
of detected abnormal cells

Speed

A study is processed
in no more than 10 minutes

Accuracy

Testing and calculation of representative metrics on a large dataset are in progress

Issues

Histological analysis is necessary for accurate cancer diagnosis: it helps to classify the type of neoplasm and determine its characteristics. It is important to conduct analysis as soon as possible. However, at the moment the waiting time for the results ranges from a week to a month. In addition, histological analysis is not available in all regions.

These problems can be solved with Celsus. Analysis can be carried out from anywhere in the world, saving specialists time and costs for the physical movement of biomaterials.

How it works

Digitizing specimen

After sampling, the specimen is scanned and digitized for transmission as a dataset

Specimen examination by a doctor

The scanned specimen is displayed on the screen, and the pathologist examines the tissue fragment

Celsus assistance

Celsus finds areas with abnormal cells, which speeds up the research process, reduces the risk of inaccurate diagnosis and reduces the burden on doctors

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