Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

36 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
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.
A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification.
Massafra R, Comes MC, Bove S, Didonna V, Diotaiuti S, Giotta F, Latorre A, La Forgia D, Nardone A, Pomarico D, Ressa CM, Rizzo A, Tamborra P, Zito A, Lorusso V, Fanizzi A. Massafra R, et al. Among authors: comes mc. PLoS One. 2022 Sep 19;17(9):e0274691. doi: 10.1371/journal.pone.0274691. eCollection 2022. PLoS One. 2022. PMID: 36121822 Free PMC article.
36 results