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Autor:
Roberto Rosenfeld, Silvia Riondino, Giusy Parisi, Giovanni Maria Iannantuono, Rexhina Ajdhoni, Francesco Torino, Sabrina Mariotti, Mario Roselli
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
The treatment of patients affected by a teratoma with somatic-type malignancy (STM) is challenging, since they are characterized by a poor prognosis, due to chemoresistance to standard cisplatin-based regimens. Only five more case reports were descri
Externí odkaz:
https://doaj.org/article/c022e843be7d4d029affeaee9f25268a
Autor:
Donna Woodford-Gormley
Publikováno v:
The Palgrave Encyclopedia of Global Shakespeare ISBN: 9783319993782
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::618932a502efeafbbbcac16eea505151
https://doi.org/10.1007/978-3-319-99378-2_207-1
https://doi.org/10.1007/978-3-319-99378-2_207-1
Autor:
R. Rosenfeld, S. Riondino, M. Cerocchi, A. Luciano, G. Idone, D. Lecis, F. Illuminato, A. Tolomei, F. Torino, M. Chiocchi, M. Roselli
Publikováno v:
Breast, Vol 76, Iss , Pp 103755- (2024)
Introduction: Neoadjuvant chemotherapies for breast cancer (BC) are effective but potentially cardiotoxic, and expose long survivors at risk of chemotherapy-related cardiac dysfunction (CTRCD). Unfortunately, early screening for CTRCD has actual diag
Externí odkaz:
https://doaj.org/article/91620f9887634cad8ac19ede7a33349e
Autor:
Scarpato, Noemi, Riondino, Silvia, Nourbakhsh, Aria, Roselli, Mario, Ferroni, Patrizia, Guadagni, Fiorella, Zanzotto, Fabio Massimo
Publikováno v:
In Expert Systems With Applications 5 December 2024 256
Autor:
Formica, V., Morelli, C., Fornaro, L., Riondino, S., Rofei, M., Fontana, E., Smyth, E.C., Roselli, M., Arkenau, H.-T.
Publikováno v:
In ESMO Open November 2024 9(11)
Autor:
Rosenfeld, R., Riondino, S., Cerocchi, M., Luciano, A., Idone, G., Lecis, D., Illuminato, F., Tolomei, A., Torino, F., Chiocchi, M., Roselli, M.
Publikováno v:
In The Breast August 2024 76
Autor:
Riondino, Silvia1 (AUTHOR) silvia.riondino@uniroma2.it, Rosenfeld, Roberto1 (AUTHOR), Formica, Vincenzo1 (AUTHOR) roberto.rosenfeld88@gmail.com, Morelli, Cristina1 (AUTHOR), Parisi, Giusy1 (AUTHOR), Torino, Francesco1 (AUTHOR), Mariotti, Sabrina1 (AUTHOR), Roselli, Mario1 (AUTHOR)
Publikováno v:
Cancers. Apr2024, Vol. 16 Issue 7, p1251. 18p.
Autor:
Eliza-Maria Froicu, Oriana-Maria Oniciuc, Vlad-Adrian Afrăsânie, Mihai-Vasile Marinca, Silvia Riondino, Elena Adriana Dumitrescu, Teodora Alexa-Stratulat, Iulian Radu, Lucian Miron, Gema Bacoanu, Vladimir Poroch, Bogdan Gafton
Publikováno v:
Diagnostics, Vol 14, Iss 18, p 2074 (2024)
Background: Machine learning models learn about general behavior from data by finding the relationships between features. Our purpose was to develop a predictive model to identify and predict which subset of colorectal cancer patients are more likely
Externí odkaz:
https://doaj.org/article/bfdcaefacaa849c08bfba0c900e5a35c
Autor:
Bellato, M., Bergnoli, A., Brugnera, A., Chen, S., Chen, Z., Clerbaux, B., Corso, F. dal, Corti, D., Dong, J., Galet, G., Garfagnini, A., Giaz, A., Gong, G., Grewing, C., Hu, J., Isocrate, R., Jiang, X., Li, F., Lippi, I., Marini, F., Ning, Z., Olshevskiyi, A. G., Pedretti, D., Petitjean, P. A., Robens, M., Shutov, V., Stahl, A., Steinmannh, J., Sun, Y., van Waasen, S., Wang, Y., Wang, Z., Wei, W., Yan, X., Yang, Y., Aiello, A., Andronico, A., Antonelli, V., Bandini, W., Brigatti, A., Barresi, A., Budano, A., Bruno, R., Cabrera, A., Cammi, A., Caruso, R., Chiesa, D., Clementi, C., Costa, S., Ding, X., Dusini, S., Fabbri, A., Fargetta, M., Fiorentini, G., Ford, R., Formozov, A., Giammarchi, M., Grassi, M., Landini, C., Lombardi, P., Lombardo, C., Malyshkin, Y., Mantovani, F., Mari, S. M., Martellini, C., Martini, A., Meroni, E., Mezzetto, M., Miramonti, L., Montini, P., Montuschi, M., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pelliccia, N., Previtali, E., Ranucci, G., Riondino, D., Re, A. C., Ricci, B., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Serafini, A., Settanta, G., Sirignano, C., Sisti, M., Stanco, L., Strati, V., Tuvè, C., Verde, G., Votano, L.
Jiangmen Underground neutrino Observatory (JUNO) is a next generation liquid scintillator neutrino experiment under construction phase in South China. Thanks to the anti-neutrinos produced by the nearby nuclear power plants, JUNO will primarily study
Externí odkaz:
http://arxiv.org/abs/2003.08339