A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse

This study uses machine learning (a type of artificial intelligence) to analyse scans, blood tests, and tumour information to identify which patients with early-stage non-small cell lung cancer (NSCLC) are at highest risk of their cancer coming back after surgery. The goal is to develop a tool that helps doctors make better treatment decisions — for example, identifying who might benefit from additional treatment after surgery. **You may be eligible if...** - You have been diagnosed with early-stage non-small cell lung cancer - Surgery to remove the tumour is being recommended as part of your treatment - You are able to understand and give informed consent - You are covered by health insurance **You may NOT be eligible if...** - You have had another cancer in the last 5 years - You are allergic to contrast dye (used in scans) - You are under legal protection (such as guardianship) Talk to your doctor to see if this trial is right for you.