HistoGenie

An open platform for interpretable

analyses of histological samples

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Our mission

We are working to improve diagnostic pathology and people’s lives

Microscope
CHALLENGE

Cancer is responsible for 10 million deaths each year. Furthermore, by 2040, cancer incidence is expected to grow by more than 60%.


The first step in successful cancer treatment is a correct pathological diagnosis, which determines the precise type and the severity of the cancer.


Despite technological progress, pathologists continue to examine histological samples manually, which is extremely demanding, time-consuming, costly, and does not allow for consistent reproducibility. Due to increased workloads, misdiagnosis remains high, and by 2030 there will be a deficit of 5700 pathologists in the USA alone.

Scientist on Computer
SOLUTION

With our solution, we automate and digitalize the process of identifying differences between healthy and cancerous samples by applying a deep learning algorithm.


The benefits of our solution are:
1. Time – the automated nature of HistoGenie offers a shorter turnaround time compared to traditional microscopy, thus increasing the pathologist’s productivity.
2. Diagnostic accuracy – HistoGenie assesses the differences between histological samples, which leads to improved recognition rates and a better understanding of correlations between carcinogenicity and the morphological properties of cells and tissues. 

About us

We are a young multidisciplinary team that covers all the relevant fields of knowledge important for the development of our solution.


The team has important experience in machine learning, cancer biology, oncology, pathology, and business.

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Get in touch

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