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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: fadda f. 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.
Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy.
Comes MC, Fanizzi A, Bove S, Didonna V, Diotiaiuti S, Fadda F, La Forgia D, Giotta F, Latorre A, Nardone A, Palmiotti G, Ressa CM, Rinaldi L, Rizzo A, Talienti T, Tamborra P, Zito A, Lorusso V, Massafra R. Comes MC, et al. Among authors: fadda f. Comput Biol Med. 2024 Apr;172:108132. doi: 10.1016/j.compbiomed.2024.108132. Epub 2024 Mar 14. Comput Biol Med. 2024. PMID: 38508058 Free article.