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Federica Miglietta

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Downloads 30 (1,318,317)

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Number of pages: 17 Posted: 12 Jan 2026
Federica Miglietta, Antonio Collesei, Claudio Vernieri, Tommaso Giarratano, Carlo Alberto Giorgi, Fabio Girardi, Gaia Griguolo, Matilde Cacciatore, Federico Piacentini, Andrea Botticelli, Andrea Vingiani, Lorenzo Casadei, Giuseppe Fotia, Davide Massa, Pietro Napolitano, Giusy Landa, Dario Palleschi, Giancarlo Pruneri, Rocco Cappellesso, Angelo Paolo Dei Tos, Maria Vittoria Dieci and Valentina Guarneri
affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, London School of Hygiene & Tropical Medicine - Cancer Survival Group, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sapienza University of Rome, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, University of Padua - Department of Medicine, Università di Padova - Dipartimento di Scienze Chirurgiche and affiliation not provided to SSRN
Downloads 19 (1,513,226)

Abstract:

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Breast Cancer, HER2-low, machine-learning

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Number of pages: 17 Posted: 14 Jan 2026
Federica Miglietta, Antonio Collesei, Claudio Vernieri, Tommaso Giarratano, Carlo Alberto Giorgi, Fabio Girardi, Gaia Griguolo, Matilde Cacciatore, Federico Piacentini, Andrea Botticelli, Andrea Vingiani, Lorenzo Casadei, Giuseppe Fotia, Davide Massa, Pietro Napolitano, Giusy Landa, Dario Palleschi, Giancarlo Pruneri, Rocco Cappellesso, Angelo Paolo Dei Tos, Maria Vittoria Dieci and Valentina Guarneri
affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, London School of Hygiene & Tropical Medicine - Cancer Survival Group, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sapienza University of Rome, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, University of Padua - Department of Medicine, Università di Padova - Dipartimento di Scienze Chirurgiche and affiliation not provided to SSRN
Downloads 11 (1,598,105)

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breast cancer, HER2-low, machine-learning