WSK Medical

The Future Of Oncology

WSK Medical is committed to creating Artificial Intelligence software solutions for the early identification and classification of cancerous tumors. Through the means of machine learning we aim to assist doctors and clinicians to a more comprehensive diagnosis facilitating a better therapeutic outcome.

We Build Bespoke Machine Learning Systems

Prototype to Product

We employ two key methodologies, Agile and CRISP-DM, for an integrated end-to-end process in data mining and software development. Agile methodology enables us to rapidly prototype software while maintaining a customer-centric focus. On the other hand, CRISP-DM (Cross-Industry Standard Process for Data Mining) is crucial for the delivery of a robust deep learning model.

Zeno Pathology

Zeno Pathology offers a completely automated AI-based analysis pipeline capable of processing whole slide images in the background.

The platform can be easily integrated into your current digital processes, ensuring a smooth connection with all necessary clinical and administrative systems, significantly improving the workflow for Hematoxylin and Eosin (H&E) and Immunohistochemistry (IHC) whole slide image analysis.

Additionally, Zeno Pathology has the capability to automatically interpret image formats from any digital slide scanner.

Compliance & Standards

Within the EU, software with a medical purpose needs to comply with the Medical Device Regulation (2017/745) or the In-Vitro Device Regulation (2017/746). Our AI solutions have CE-MDR/IVDR approval and meet all regulatory and compliance requirements.

We use ISO/IEC (international) and EN (European) standards in developing our AI solutions, ensuring we comply with the regulations. By using harmonized standards, we know those standards meet compliance against legislative requirements.

WSK Medical Solutions