Mario Roselli

RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression

Fabio Massimo Zanzotto, Noemi Scarpato, Fiorella Guadagni, 2017, IWBBIO.

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2017, Disease markers.

Serum tissue polypeptide specific antigen (TPS): a complementary tumor marker to CA 15-3 in the management of breast cancer

Fiorella Guadagni, Patrizia Ferroni, Mario Roselli, 2001, Breast Cancer Research and Treatment.

Breast Cancer Prognosis Using a Machine Learning Approach

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2019, Cancers.

Artificial intelligence for cancer-associated thrombosis risk assessment.

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2018, The Lancet. Haematology.

VEGF gene promoter polymorphisms and risk of VTE in chemotherapy-treated cancer patients

Fiorella Guadagni, Maria Laura De Marchis, Patrizia Ferroni, 2016, Thrombosis and Haemostasis.

Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2017, Medical decision making : an international journal of the Society for Medical Decision Making.

Vascular endothelial growth factor (VEGF-A) plasma levels in non-small cell lung cancer: relationship with coagulation and platelet activation markers.

Stefania Basili, Fiorella Guadagni, Patrizia Ferroni, 2003, Thrombosis and haemostasis.