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Interview with Prof. Timm Denecke about the RACOON-MARDER project and AI-powered early detection of liver cancer using MRI
An in-depth interview with Prof. Timm Denecke about the RACOON-MARDER project

Rethinking Early Detection: How RACOON-MARDER Aims to Spot Liver Cancer Sooner

Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By combining MRI imaging, clinical data, and AI-based risk stratification, researchers hope to identify high-risk patients earlier and enable personalized, intensified surveillance beyond what traditional ultrasound can offer.

In this interview, Prof. Dr. Timm Denecke (University Hospital Leipzig) explains how AI can make the invisible visible - and why the RACOON infrastructure is key to advancing liver cancer research.

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Early Detection of Treatment Response in Lung Cancer Using Delta-Radiomics Features

The study conducted by Heidelberg University Hospital investigates the use of diffusion-weighted MRI (DWI) to predict early treatment outcomes in…

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