Development of machine learning models for comprehensive clinicopathological analysis of head and neck cancer

Countries/Regions
Switzerland
Category
Research
Academic Field
Medicine
Related goals of SDGs
3 Good health and well-being9 Industry, innovation, infrastructure
Keyword Pathology, head and neck cancer, artificial intelligence, machine learning, image analysis

Information on Niigata University

Name of the professor/researcher Tatsuya ABÉ
Position/Faculty Assistant professor, Faculty of Dentistry

Information on the Counterpart

Countries/Regions Switzerland
Faculty/Institution the University of Basel

Detailed Information/Report on Activities

This study aims to develop a new risk classification model for head and neck squamous cell carcinoma through collaborative work to create machine learning and artificial intelligence models capable of qualifying and quantifying pathological cancer tissue images. Experts in pathology, computer science, and bioinformatics participate in this project, working together to advance the integrative development of translational pathology and computational science.