Resources
UMC Groningen and WSK Medical Awarded PPP Grant for Advanced AI Project in Oral Cancer Detection and Classification
Groningen/Amsterdam, the Netherlands – The University Medical Center Groningen (UMCG) has announced the approval of a Public-Private Partnership (PPP) grant in collaboration with WSK Medical for an...
WSK Medical and IMP Diagnostics Receive €1,2 million Eurostars Grant to Develop AI Solution for Automated Analysis of Colorectal Cancer Samples
WSK Medical (Amsterdam, the Netherlands), a leading Artificial Intelligence (AI) software solutions provider for oncology care, and IMP Diagnostics (Porto, Portugal), a private molecular and...
WSK Medical and Alessandro Villa join forces for AI detection and classification on oral cavity lesions and cancers.
Amsterdam/Miami, the Netherlands/United States – Medical and Alessandro Villa join forces to develop an Artificial Intelligence solution for the detection and classification of oral cavity lesions...
KWF Grant for WSK Medical and UMC Groningen
Amsterdam/Groningen, the Netherlands - WSK Medical and UMC Groningen Receive KWF Grant to Develop Artificial Intelligence (AI) Solutions for the Detection and Classification of Head and Neck Cancer...
WSK Medical and UMC Groningen receive MKB-call grant from Health-Holland to further enhance AI-based analysis of head and neck cancer
Amsterdam/Groningen, the Netherlands – WSK Medical and UMC Groningen (UMCG) announce their joint project receiving funding from the Health-Holland MKB-call. The project is a first of its kind effort...
WSK Medical, Slide Score, and UMC Utrecht Announce Innovative AI Pipeline Project Funded by Kansen voor West EFRO 2021-2027 program
Amsterdam, The Netherlands – WSK Medical, Slide Score, and University Medical Center Utrecht (UMCU) are thrilled to announce their collaborative project, funded by the prestigious Kansen voor West...
Publications
Source Frontiers
Year 2025

A scoping review of TSR analysis in
colorectal cancer: implications
for automated solutions
Source Wiley
Year 2023

Detection of laryngeal carcinoma during endoscopy using
artificial intelligence
