ESMO Real World Data and Digital Oncology

Predicting efficacy in patients with locally advanced/metastatic urothelial carcinoma (mUC) treated with immunotherapy using explainable machine learning approaches: the SamUR-AI trial on behalf of the Meet-URO group

Pub Date : 2026-01-30 DOI: 10.1016/j.esmorw.2025.100681 A. Rametta , S. Ferri , M. Maruzzo , F. Pierantoni , L. Antonuzzo , V. Rossi , S. Buti , I. Testi , P. Zucali , C. Mucciarini , M. Stellato , L. Provenzano , D. Raggi , E. Farè , A.L.G. Pedrocchi , A. Prelaj , A. Necchi , G. Procopio , V. Miskovic , P. Giannatempo

Predictors of acute lymphopenia after radiotherapy for prostate cancer including pelvic node irradiation: results of a real-world prospective multi-centric study

Pub Date : 2026-01-30 DOI: 10.1016/j.esmorw.2025.100680 V. Vavassori , M. Pavarini , L. Alborghetti , S. Aimonetto , A. Maggio , V. Landoni , P. Ferrari , A. Bianculli , E. Petrucci , A. Cicchetti , B. Farina , M.G. Ubeira-Gabellini , P. Salmoiraghi , E. Moretti , B. Avuzzi , T. Giandini , F. Munoz , A. Magli , B. Noris Chiorda , G. Sanguineti , C. Cozzarini

How to bring generative AI to oncology practice

Pub Date : 2026-01-30 DOI: 10.1016/j.esmorw.2025.100679 D. Truhn , J.N. Kather