POGGESI, ITALO
POGGESI, ITALO
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
A Population Pharmacokinetic Model of Macitentan and Its Active Metabolite Aprocitentan in Healthy Volunteers and Patients with Pulmonary Arterial Hypertension
2021-01-01 Bartolucci, R.; Dosne, A.; Csonka, D.; Perez-Ruixo, J. J.; Magni, P.; Poggesi, I.
A translational model-based approach to inform the choice of the dose in phase 1 oncology trials: the case study of erdafitinib
2022-01-01 Tosca, E. M.; Terranova, N.; Stuyckens, K.; Dosne, A. G.; Perera, T.; Vialard, J.; King, P.; Verhulst, T.; Perez-Ruixo, J. J.; Magni, P.; Poggesi, I.
Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis
2015-01-01 Sardu, M. L.; Poggesi, I.; Nicolao, De
Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis
2015-01-01 Sardu, M. L.; Poggesi, I.; Nicolao, De
Biomarker-driven models of tumor growth inhibition in preclinical animal studies
2012-01-01 Sardu, MARIA LUISA; Russu, Alberto; DE NICOLAO, Giuseppe; Poggesi, Italo
Current mathematical models for cancer drug discovery
2017-01-01 Carrara, Letizia; Lavezzi, SILVIA MARIA; Borella, Elisa; DE NICOLAO, Giuseppe; Magni, Paolo; Poggesi, Italo
Integration of response, tolerability and dropout in flexible-dose trials: a case study in depression
2011-01-01 Russu, Alberto; Marostica, Eleonora; DE NICOLAO, Giuseppe; A. C., Hooker; Poggesi, Italo; R., Gomeni; S., Zamuner
Mathematical modeling of efficacy and safety for anticancer drugs clinical development
2018-01-01 Lavezzi, S. M.; Borella, E.; Carrara, L.; De Nicolao, G.; Magni, P.; Poggesi, I.
Method to evaluate the systemic exposure in toxicological and pharmacological studies
2001-01-01 Bellazzi, Riccardo; DE NICOLAO, Giuseppe; Magni, Paolo; Poggesi, I.; Rocchetti, M.
Modeling approaches for reducing safety-related attrition in drug discovery and development: a review on myelotoxicity, immunotoxicity, cardiovascular toxicity, and liver toxicity
2021-01-01 Tosca, E. M.; Bartolucci, R.; Magni, P.; Poggesi, I.
Pharmacokinetic-Pharmacodynamic Modeling in Drug Development with Special Reference to Oncology
2016-01-01 Sardu, MARIA LUISA; DE NICOLAO, Giuseppe; Poggesi, Italo
Population pharmacokinetic model of ibrutinib, a Bruton tyrosine kinase inhibitor, in patients with B cell malignancies
2015-01-01 Marostica, Eleonora; Sukbuntherng, Juthamas; Loury, David; De Jong, Jan; De Trixhe, Xavier Woot; Vermeulen, An; DE NICOLAO, Giuseppe; O'Brien, Susan; Byrd, John C.; Advani, Ranjana; Mcgreivy, Jesse; Poggesi, Italo
Prediction of the Effect of Renal Impairment on the Pharmacokinetics of New Drugs
2018-01-01 Borella, E.; Poggesi, I.; Magni, P.
Predictive assessments of pharmacokinetic alterations in subjects with renal disease
2015-01-01 Borella, Elisa; Poggesi, Italo; Magni, Paolo
Steady-state equivalence of drug- and biomarker driven models in tumor growth experiments
2014-01-01 Sardu, MARIA LUISA; Poggesi, Italo; DE NICOLAO, Giuseppe
Systemic Exposure of Rituximab Increased by Ibrutinib: Pharmacokinetic Results and Modeling Based on the HELIOS Trial
2019-01-01 Lavezzi, S. M.; de Jong, J.; Neyens, M.; Cramer, P.; Demirkan, F.; Fraser, G.; Bartlett, N.; Dilhuydy, M. -S.; Loscertales, J.; Avigdor, A.; Rule, S.; Samoilova, O.; Goy, A.; Ganguly, S.; Salman, M.; Howes, A.; Mahler, M.; De Nicolao, G.; Poggesi, I.
Tumor growth modelling for drug development
2014-01-01 Simeoni, Monica; Magni, Paolo; Poggesi, Italo; DE NICOLAO, Giuseppe; M., Rocchetti
Tumor-growth inhibition in preclinical animal studies: steady-state analysis of biomarker-driven models
2013-01-01 Sardu, MARIA LUISA; Russu, Alberto; Poggesi, Italo; DE NICOLAO, Giuseppe
Use of Physiology-Based Elements to Predict the Pharmacokineticsof New Drugs
2017-01-30 Poggesi, Italo
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Population Pharmacokinetic Model of Macitentan and Its Active Metabolite Aprocitentan in Healthy Volunteers and Patients with Pulmonary Arterial Hypertension | 1-gen-2021 | Bartolucci, R.; Dosne, A.; Csonka, D.; Perez-Ruixo, J. J.; Magni, P.; Poggesi, I. | |
A translational model-based approach to inform the choice of the dose in phase 1 oncology trials: the case study of erdafitinib | 1-gen-2022 | Tosca, E. M.; Terranova, N.; Stuyckens, K.; Dosne, A. G.; Perera, T.; Vialard, J.; King, P.; Verhulst, T.; Perez-Ruixo, J. J.; Magni, P.; Poggesi, I. | |
Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis | 1-gen-2015 | Sardu, M. L.; Poggesi, I.; Nicolao, De | |
Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis | 1-gen-2015 | Sardu, M. L.; Poggesi, I.; Nicolao, De | |
Biomarker-driven models of tumor growth inhibition in preclinical animal studies | 1-gen-2012 | Sardu, MARIA LUISA; Russu, Alberto; DE NICOLAO, Giuseppe; Poggesi, Italo | |
Current mathematical models for cancer drug discovery | 1-gen-2017 | Carrara, Letizia; Lavezzi, SILVIA MARIA; Borella, Elisa; DE NICOLAO, Giuseppe; Magni, Paolo; Poggesi, Italo | |
Integration of response, tolerability and dropout in flexible-dose trials: a case study in depression | 1-gen-2011 | Russu, Alberto; Marostica, Eleonora; DE NICOLAO, Giuseppe; A. C., Hooker; Poggesi, Italo; R., Gomeni; S., Zamuner | |
Mathematical modeling of efficacy and safety for anticancer drugs clinical development | 1-gen-2018 | Lavezzi, S. M.; Borella, E.; Carrara, L.; De Nicolao, G.; Magni, P.; Poggesi, I. | |
Method to evaluate the systemic exposure in toxicological and pharmacological studies | 1-gen-2001 | Bellazzi, Riccardo; DE NICOLAO, Giuseppe; Magni, Paolo; Poggesi, I.; Rocchetti, M. | |
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. | |
Pharmacokinetic-Pharmacodynamic Modeling in Drug Development with Special Reference to Oncology | 1-gen-2016 | Sardu, MARIA LUISA; DE NICOLAO, Giuseppe; Poggesi, Italo | |
Population pharmacokinetic model of ibrutinib, a Bruton tyrosine kinase inhibitor, in patients with B cell malignancies | 1-gen-2015 | Marostica, Eleonora; Sukbuntherng, Juthamas; Loury, David; De Jong, Jan; De Trixhe, Xavier Woot; Vermeulen, An; DE NICOLAO, Giuseppe; O'Brien, Susan; Byrd, John C.; Advani, Ranjana; Mcgreivy, Jesse; Poggesi, Italo | |
Prediction of the Effect of Renal Impairment on the Pharmacokinetics of New Drugs | 1-gen-2018 | Borella, E.; Poggesi, I.; Magni, P. | |
Predictive assessments of pharmacokinetic alterations in subjects with renal disease | 1-gen-2015 | Borella, Elisa; Poggesi, Italo; Magni, Paolo | |
Steady-state equivalence of drug- and biomarker driven models in tumor growth experiments | 1-gen-2014 | Sardu, MARIA LUISA; Poggesi, Italo; DE NICOLAO, Giuseppe | |
Systemic Exposure of Rituximab Increased by Ibrutinib: Pharmacokinetic Results and Modeling Based on the HELIOS Trial | 1-gen-2019 | Lavezzi, S. M.; de Jong, J.; Neyens, M.; Cramer, P.; Demirkan, F.; Fraser, G.; Bartlett, N.; Dilhuydy, M. -S.; Loscertales, J.; Avigdor, A.; Rule, S.; Samoilova, O.; Goy, A.; Ganguly, S.; Salman, M.; Howes, A.; Mahler, M.; De Nicolao, G.; Poggesi, I. | |
Tumor growth modelling for drug development | 1-gen-2014 | Simeoni, Monica; Magni, Paolo; Poggesi, Italo; DE NICOLAO, Giuseppe; M., Rocchetti | |
Tumor-growth inhibition in preclinical animal studies: steady-state analysis of biomarker-driven models | 1-gen-2013 | Sardu, MARIA LUISA; Russu, Alberto; Poggesi, Italo; DE NICOLAO, Giuseppe | |
Use of Physiology-Based Elements to Predict the Pharmacokineticsof New Drugs | 30-gen-2017 | Poggesi, Italo |