Cecile Wolfs

Cecile Wolfs is a Lecturer affiliated with the Faculty of Health, Medicine and Life Sciences, specializing in Clinical Data Science under the GROW - Basic and Translational Cancer Biology program. Her work focuses on integrating Artificial Intelligence with Radiotherapy to enhance treatment accuracy and patient outcomes.

Research interests include:

• AI-driven detection of treatment errors in radiotherapy
• Medical imaging analysis using Convolutional Neural Networks and Transformer models
• Investigating cachexia in lung cancer patients
• Automated workflows for Cone-Beam Computed Tomography data
• Human-centric co-design methodologies in clinical applications

Her recent publications highlight trends in medical physics, machine learning for image analysis, and translational cancer biology, with a focus on improving radiotherapy precision and addressing cancer-related metabolic disorders.