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S. Rota

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Open access Sep 2026

Lynch syndrome–associated urothelial carcinoma: clinical and molecular findings from a single-institution cohort

Lynch syndrome–associated urothelial carcinoma (LS-UC) is a rare and undercharacterized clinical entity. While FGFR3 alterations are well described in sporadic urothelial carcinoma, their prevalence and clinical implications in LS-UC remain unclear. We aimed to provide a comprehensive clinical and molecular characteriz...

A. Rametta, M. Barella, A. Scardino et al. · 0 citations
#artificial intelligence Open access Sep 2026

Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC

In a large international real-world study of non-small cell lung cancer, a multimodal explainable AI model outperformed established biomarkers for immunotherapy outcome prediction and improved physician decision-making.

A. Prelaj, V. Mišković, Matteo Sacco et al. · 1 citation
Open access Jul 2026

Clinician expertise and prompt engineering enhance cancer information extraction in electronic health records by small language models.

This is the first study to benchmark SLMs on Italian EHRs and investigate the role of clinical expertise in prompt engineering, offering valuable insights for the future integration of SLMs into real-world clinical workflows.

Federica Corso, V. Peppoloni, L. Mazzeo et al. · 0 citations

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