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    Article

    Machine learning in neuro-oncology: toward novel development fields

    Artificial Intelligence (AI) involves several and different techniques able to elaborate a large amount of data responding to a specific planned outcome. There are several possible applications of this technol...

    Vincenzo Di Nunno, Mario Fordellone, Giuseppe Minniti in Journal of Neuro-Oncology (2022)

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    Clinical and Molecular Features of Patients with Gliomas Harboring IDH1 Non-canonical Mutations: A Systematic Review and Meta-Analysis

    The canonical isocitrate dehydrogenase 1 R132 mutation (IDH1 R132) is the most frequent mutation among IDH-mutated gliomas. Non-canonical IDH1 mutations or IDH2 mutations are unusual and their clinical and biolog...

    Vincenzo Di Nunno, Enrico Franceschi, Alicia Tosoni, Lidia Gatto in Advances in Therapy (2022)

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    Third-line therapy in recurrent glioblastoma: is it another chance for bevacizumab?

    Standard glioblastoma therapy is long-lasting. Among second-line therapy, choices could be bevacizumab and nitrosoureas depending on National Agencies approval. There is no consensus on 3rd line therapy or cli...

    Enrico Franceschi, Giuseppe Lamberti, Alexandro Paccapelo in Journal of Neuro-Oncology (2018)

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    Post progression survival in glioblastoma: where are we?

    The optimal end point for phase II studies for recurrent glioblastoma (GBM) is unclear and a matter of debate. Moreover, data about post-progression survival (PPS) after the first disease progression in GBM pa...

    Enrico Franceschi, Mario Ermani, Stefania Bartolini in Journal of Neuro-Oncology (2015)