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Scientific Reports|July 9, 2021
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIsMaria Colomba Comes, Annarita Fanizzi, Samantha Bove, et al.
Journal of Clinical Medicine|August 27, 2021
Weighted Gene Co-Expression Network Analysis Combined with Machine Learning Validation to Identify Key Modules and Hub Genes Associated with SARS-CoV-2 InfectionHassan Karami, Afshin Derakhshani, Mohammad Ghasemigol, et al.
Therapeutic Advances in Medical Oncology|March 12, 2020
The impact of progesterone receptor expression on prognosis of patients with rapidly proliferating, hormone receptor-positive early breast cancer: a post hoc analysis of the IBIS 3 trialSara Bravaccini, Giuseppe Bronte, Emanuela Scarpi, et al.
Journal of Personalized Medicine|June 24, 2022
Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant ChemotherapyRaffaella Massafra, Maria Colomba Comes, Samantha Bove, et al.
Virchows Archiv : an International Journal of Pathology|July 13, 2021
Basic principles of biobanking: from biological samples to precision medicine for patientsLaura Annaratone, Giuseppe De Palma, Giuseppina Bonizzi, et al.
Infectious Agents and Cancer|November 8, 2023
Evaluation of human papillomavirus DNA in colorectal cancer and adjacent mucosal tissue samplesLuisa Galati, Purnima Gupta, Antonio Tufaro, et al.
Frontiers in Medicine|February 23, 2023
Analyzing breast cancer invasive disease event classification through explainable artificial intelligenceRaffaella Massafra, Annarita Fanizzi, Nicola Amoroso, et al.
Journal of Medical Virology|March 7, 2025
HPV Biomarkers in Oral and Blood-Derived Body Fluids in Head and Neck Cancer PatientsLuisa Galati, Marta Tagliabue, Tarik Gheit, et al.
International Journal of Molecular Sciences|June 26, 2020
The Strategic Alliance between Clinical and Molecular Science in the War against SARS-CoV-2, with the Rapid-Diagnostics Test as an Indispensable Weapon for Front Line DoctorsAntonio Vittorino Gaddi, Fabio Capello, Leonardo Aluigi, et al.
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