Leonardo Provenzano
Milan, Italy
Last Updated: 09/26/2026
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Found 42 publications
An individualized patient decision-making tool to improve decision making in non-small cell lung cancer: a mixed methods approach.
Journal: ESMO real world data and digital oncology
Published: July 28, 2026
Interoception, blood pressure, and pain: unraveling their interaction under stressful and resting conditions.
Journal: Stress (Amsterdam, Netherlands)
Published: May 04, 2026
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.
Journal: ESMO real world data and digital oncology
Published: April 03, 2026
Adjuvant chemotherapy in stage I triple-negative breast cancer: A systematic review and meta-analysis of survival outcomes.
Journal: Cancer treatment reviews
Published: February 14, 2026
Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records.
Journal: ESMO real world data and digital oncology
Published: February 06, 2026
Explainable machine learning to predict immunotherapy outcomes in metastatic renal cell carcinoma - Meet-URO 15-AI study.
Journal: NPJ precision oncology
Published: January 18, 2026
Real-world effectiveness of CDK4/6 inhibitors in older patients with HR+/HER2- advanced breast cancer: a sub-analysis of the multicenter, PALMARES-2 study.
Journal: Breast (Edinburgh, Scotland)
Published: December 22, 2025
Automatic Cough Analysis for Non-Small Cell Lung Cancer Detection.
Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Published: December 03, 2025
Trustworthy assessment of 2D model for lung CT scans.
Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Published: December 03, 2025
Combining Clinician Expertise with Prompt Engineering enhances Small Language Models Reliability for Cancer Entity Recognition in Electronic Health Records.
Journal: medRxiv : the preprint server for health sciences
Published: November 24, 2025
Effectiveness comparison of first-line CDK4/6 inhibitors in patients with hormone-positive HER2-negative advanced breast cancer according to tumor histology: a sub-analysis of the real-world, multicenter, Italian study PALMARES-2.
Journal: Breast (Edinburgh, Scotland)
Published: November 12, 2025
Clinician expertise and prompt engineering enhance cancer information extraction in electronic health records by small language models.
Journal: Communications medicine
Published: October 24, 2025
Last Updated: 09/26/2026