Oncology

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Article • AI-powered prediction

Machine learning identifies cardiotoxicity risk in breast cancer patients

Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…

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News • Hybrid imaging

PET/MR update for added value in theranostics

Bringing diagnostics and therapy closer together - that is the basic concept behind theranostics. Through further development of its PET/MR scanners, Siemens Healthineers aims to advance this approach. Andreas Schneck, Head of the MRI Division at Siemens Healthineers, talks about the new system, which was also presented at the European Congress of Radiology (ECR) in Vienna, and its advantages in…

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Article • Insights and perspectives presented at ECR 2025

Nuclear medicine: Innovations, challenges, and new horizons

Nuclear medicine (NM), one of the more mature technologies of diagnostic imaging, has been experiencing a rebirth in innovation and interest. The increasing prevalence of cancer,, an aging global population, and greater longevity, has created a robust demand for nuclear medicine. At ECR in Vienna, presenters explored market perspectives, but also safety and sustainability challenges.

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