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Author

L. Provenzano

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Open access Sep 2026

Prognostic value of hormone receptor expression in patients with HR+/HER2− advanced BC treated with first-line ET+CDK4/6i: results from the multicentre observational, real-world PALMARES-2 study

Effectiveness of first-line ET plus CDK4/6i in patients with HR+/HER2− aBC worsens progressively with decreasing ERα expression, and PgR expression adds further prognostic discrimination, with low ERα and PgR expression identifying a subgroup of patients with particularly poor outcomes.

F. Ligorio, L. Provenzano, R. Caputo 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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