TOSCA, ELENA MARIA

TOSCA, ELENA MARIA  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Titolo Data di pubblicazione Autore(i) File
Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules 1-gen-2021 Tosca, E. M.; Bartolucci, R.; Magni, P.
Artificial intelligence and machine learning: just a hype or a new opportunity for pharmacometrics? 1-gen-2019 Bartolucci, R.; Grandoni, S.; Melillo, N.; Nicora, G.; Sauta, E.; Tosca, E. M.; Magni, P.
Cancer Cachexia: A Dynamic Energy Budget ({DEB})-Based Model for Tumor-Related Anorexia and Sarcopenia 1-gen-2020 Tosca, E. M.; Montanaro, A.; Rocchetti, M.; Magni, P.
Development of a genetic algorithm for covariate analysis in population pharmacokinetic models 1-gen-2021 Bartolucci, R.; Masciale, G.; Tosca, E. M.; Magni, P.
A Dynamic Energy Budget (DEB) based modeling framework to describe tumor-in-host growth inhibition and cachexia onset during anticancer treatment in in vivo xenograft studies 1-gen-2021 Tosca, E. M.; Rocchetti, M.; Magni, P.
Dynamic Energy Budget (DEB) based models of tumor-in-host growth inhibition and cachexia onset 1-gen-2019 Tosca, E. M.; Rocchetti, M.; Pesenti, E.; Magni, P.
Dynamic energy budget based models of tumor-in-host growth inhibition and cachexia onset in preclinical settings. 30-gen-2019 Tosca, ELENA MARIA
Evaluation of a PK/PD DEB-based model for tumor-in-host growth kinetics under anticancer treatment 1-gen-2016 Tosca, ELENA MARIA; Borella, Elisa; Terranova, Nadia; Rocchetti, M.; Magni, Paolo
Evaluation of a tumor growth inhibition (TGI) model integrating dynamic energy budget (DEB) theory 1-gen-2016 Tosca, ELENA MARIA; Borella, Elisa; Terranova, Nadia; Rocchetti, M.; Magni, Paolo
Evaluation of software tools for Bayesian estimation on population models:an update based on current software versions 1-gen-2018 Bartolucci, R.; Lavezzi, S. M.; Tosca, E. M.; Melillo, N.; Grandoni, S.; Borella, E.; Pasotti, L.; De Nicolao, G.; Magni, P.
A genetic algorithm for covariate selection 1-gen-2021 Bartolucci, R.; Tosca, E. M.; Magni, P.
In vitro-in vivo correlation (IVIVC) population modeling for the in silico bioequivalence of a long-acting release formulation of Progesterone 1-gen-2018 Tosca, E. M.; De Nicolao, G.; Rochetti, M.; Magni, P.; Perez, E.; Nieto, C.; Bettica, P.; Moscoso del Prado, J.
In vitro– in vivo correlation (Ivivc) population modeling for the in silico bioequivalence of a long‐acting release formulation of progesterone 1-gen-2021 Tosca, E. M.; Rocchetti, M.; Perez, E.; Nieto, C.; Bettica, P.; Del Prado, J. M.; Magni, P.; De Nicolao, G.
Methods and tools for multiscale modelling in Systems Pharmacology: a review 1-gen-2016 Borella, Elisa; Carrara, Letizia; Lavezzi, SILVIA MARIA; Massaiu, Ilaria; Sauta, Elisabetta; Tosca, ELENA MARIA; Vitali, Francesca; Zucca, Susanna; Pasotti, Lorenzo; DE NICOLAO, Giuseppe; Magni, Paolo
Modeling approaches for reducing safety-related attrition in drug discovery and development: a review on myelotoxicity, immunotoxicity, cardiovascular toxicity, and liver toxicity 1-gen-2021 Tosca, E. M.; Bartolucci, R.; Magni, P.; Poggesi, I.
Modeling resistance development to Bevacizumab in xenograft experiments by coupling hypoxia-mediated mechanism and a Dynamic Energy Budget (DEB) based tumor-in-host model 1-gen-2018 Tosca, E.; Rocchetti, M.; Pesenti, E.; Magni, P.
Modeling restoration of gefitinib efficacy by co-administration of MET inhibitors in an EGFR inhibitor-resistant NSCLC xenograft model: A tumor-in-host DEB-based approach 1-gen-2021 Tosca, E. M.; Gauderat, G.; Fouliard, S.; Burbridge, M.; Chenel, M.; Magni, P.
Modeling tumor growth inhibition and toxicity outcome after administration of anticancer agents in xenograft mice: A Dynamic Energy Budget (DEB) approach 1-gen-2018 Terranova, N.; Tosca, E. M.; Borella, E.; Pesenti, E.; Rocchetti, M.; Magni, P.
A PK/PD model for tumor-in-host growth kinetics following administration of an antiangiogenic agent given alone or in combination regimens 1-gen-2017 Tosca, ELENA MARIA; Rocchetti, M.; Magni, Paolo
PKPD modelling of MEN1611 anti-tumor effect in xenograft models to predict efficacy threshold concentrations in HER2-positive advanced or metastatic breast cancer patient population 1-gen-2021 Tosca, E. M.; Borella, E.; Piana, C.; Fornari, C.; Bartolucci, R.; Mazzei, P.; Capriati, A.; Merlino, G.; Capano, S.; Laurent, D.; Pellacani, A.; Magni, P.