PROVENZANO, LEONARDO

PROVENZANO, LEONARDO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research 1-gen-2023 Prelaj, ArselaProvenzano, LeonardoMazzeo, LauraTrovò, FrancescoManglaviti, SaraAmbrosini, PaoloPedrocchi, Alessandra Laura GiuliaMiskovic, Vanja +
APOLLO11: a bio-data-driven model for clinical and translational research in lung cancer 1-gen-2026 Prelaj, ArselaProvenzano, LeonardoMiskovic, VanjaMazzeo, LauraFavali, MargheritaZec, AleksandraFerrarin, AlbertoDi Mauro, Rosa MariaCatania, ChiaraCorso, FedericaScoazec, GiovanniPedrocchi, AlessandraGenova, CarloGuirges, BeshoyLicciardello, Cristina +
Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review 1-gen-2024 Prelaj, A.Miskovic, V.Trovo, F.Mazzeo, L.Provenzano, L.Favali, M.Ambrosini, E.Pedrocchi, A. L. G. +
Automatic Cough Analysis for Non-Small Cell Lung Cancer Detection 1-gen-2025 Giangregorio C.Licciardello C. M.Miskovic V.Provenzano L.Prelaj A.Ambrosini E.Ferrante S. +
Characteristics and impact of real-world evidence studies in oncology: comprehensive mapping review of publications evaluating targeted therapies in solid tumours 1-gen-2024 A. PrelajV. MiskovicL. Provenzano +
Integrating radiomics and real-world data to predict immune checkpoint inhibitor efficacy in advanced non-small-cell lung cancer 1-gen-2025 Provenzano, L.Favali, M.Mazzeo, L.Monteleone, M.Baselli, G.De Momi, E.Guirges, B.Zec, A.Ferrarin, A.Giani, C.Manglaviti, S.Mazzoli, G.Frasca, S.Agosta, C.Romanò, R.Restelli, M.Trovò, F.Pedrocchi, A. L. G.Miskovic, V.Prelaj, A. +
PEOPLE (NTC03447678), a phase II trial to test pembrolizumab as first-line treatment in patients with advanced NSCLC with PD-L1 <50%: a multiomics analysis 1-gen-2023 Prelaj, ArselaMazzeo, LauraProvenzano, LeonardoMiskovic, VanjaPedrocchi, Alessandra Laura GiuliaTrovo', FrancescoManglaviti, SaraAmbrosini, Paolo +
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 1-gen-2026 Ferri, S.Stellato, M.Provenzano, L.Pedrocchi, A. L. G.Prelaj, A.Miskovic, V. +
The impact of decision tools during oncological consultation with lung cancer patients: A systematic review within the I3LUNG project 1-gen-2024 Prelaj, ArselaProvenzano, LeonardoMazzeo, LauraTrovò, FrancescoPedrocchi, AlessandraAmbrosini, EmiliaNuara, Alessandro +
Trustworthy assessment of 2D model for lung CT scans 1-gen-2025 Favali, MargheritaMiskovic, VanjaEusebio, AlbertoTrovo, FrancescoProvenzano, LeonardoGuirges, BeshoyPrelaj, ArselaPedrocchi, Alessandra +