MDPI and ACS Style
Palumbo, D.; Mori, M.; Prato, F.; Crippa, S.; Belfiori, G.; Reni, M.; Mushtaq, J.; Aleotti, F.; Guazzarotti, G.; Cao, R.;
et al. Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach. Cancers 2021, 13, 4938.
https://doi.org/10.3390/cancers13194938
AMA Style
Palumbo D, Mori M, Prato F, Crippa S, Belfiori G, Reni M, Mushtaq J, Aleotti F, Guazzarotti G, Cao R,
et al. Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach. Cancers. 2021; 13(19):4938.
https://doi.org/10.3390/cancers13194938
Chicago/Turabian Style
Palumbo, Diego, Martina Mori, Francesco Prato, Stefano Crippa, Giulio Belfiori, Michele Reni, Junaid Mushtaq, Francesca Aleotti, Giorgia Guazzarotti, Roberta Cao,
and et al. 2021. "Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach" Cancers 13, no. 19: 4938.
https://doi.org/10.3390/cancers13194938