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Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2-positive breast cancer patients: A machine learning approach.
Fanizzi A, Latorre A, Bavaro DA, Bove S, Comes MC, Di Benedetto EF, Fadda F, La Forgia D, Giotta F, Palmiotti G, Petruzzellis N, Rinaldi L, Rizzo A, Lorusso V, Massafra R. Fanizzi A, et al. Among authors: comes mc. Cancer Med. 2023 Nov;12(22):20663-20669. doi: 10.1002/cam4.6512. Epub 2023 Oct 31. Cancer Med. 2023. PMID: 37905688 Free PMC article.
An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients' Age: A Retrospective Cohort Study.
Massafra R, Bove S, La Forgia D, Comes MC, Didonna V, Gatta G, Giotta F, Latorre A, Nardone A, Palmiotti G, Quaresmini D, Rinaldi L, Tamborra P, Zito A, Rizzo A, Fanizzi A, Lorusso V. Massafra R, et al. Among authors: comes mc. Cancers (Basel). 2022 Apr 28;14(9):2215. doi: 10.3390/cancers14092215. Cancers (Basel). 2022. PMID: 35565344 Free PMC article.
Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy.
Massafra R, Comes MC, Bove S, Didonna V, Gatta G, Giotta F, Fanizzi A, La Forgia D, Latorre A, Pastena MI, Pomarico D, Rinaldi L, Tamborra P, Zito A, Lorusso V, Paradiso AV. Massafra R, et al. Among authors: comes mc. J Pers Med. 2022 Jun 10;12(6):953. doi: 10.3390/jpm12060953. J Pers Med. 2022. PMID: 35743737 Free PMC article.
44 results