MELILLO, NICOLA

MELILLO, NICOLA  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Risultati 1 - 20 di 24 (tempo di esecuzione: 0.039 secondi).
Titolo Data di pubblicazione Autore(i) File
A PBPK model for the study of Azathioprine pharmacokinetics in rats and prediction in humans 1-gen-2018 Bartolucci, R.; Melillo, N.; Magni, P.
A Two-Stages Global Sensitivity Analysis by using the delta sensitivity index in presence of correlated inputs: Application on a Tumor Growth Inhibition model based on the Dynamic Energy Budget theory 1-gen-2023 De Carlo, A.; Tosca, E. M.; Melillo, N.; Magni, P.
A Two-Stages Global Sensitivity Analysis in presence of correlated inputs: Application on a Tumor-in-host-growth Inhibition model based on the Dynamic Energy Budget theory 1-gen-2022 De Carlo, A.; Tosca, E. M.; Melillo, N.; Magni, P.
Accounting for inter-correlation between enzyme abundance: a simulation study to assess implications on global sensitivity analysis within physiologically-based pharmacokinetics 1-gen-2019 Melillo, N.; Darwich, A. S.; Magni, P.; Rostami-Hodjegan, A.
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.
Development and evaluation of a PBPK model to study the pharmacokinetics of inhaled drugs in rats 1-gen-2019 Grandoni, S.; Cesari, N.; Melillo, N.; Brogin, G.; Puccini, P.; Magni, P.
Development of a PBPK model for the study of Azathioprine pharmacokinetics in rats and translation to humans 1-gen-2018 Bartolucci, Roberta; Melillo, N.; Magni, P.
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.
Global sensitivity analysis of a physiological absorption model for BCS I-IV compounds 1-gen-2018 Melillo, Nicola; Aarons, L.; Magni, P.; Darwich, A. S.
Global sensitivity analysis of a physiologically based pulmonary absorption model 1-gen-2019 Melillo, N.; Grandoni, S.; Cesari, N.; Brogin, G.; Puccini, P.; Magni, P.
Impact of enzyme inter-correlation on global sensitivity analysis of PBPK models: a case study with repaglinide 1-gen-2018 Melillo, N.; Darwich, A. S.; Magni, P.; Rostami-Hodjegan, A.
Inter-compound and Intra-compound Global Sensitivity Analysis of a Physiological Model for Pulmonary Absorption of Inhaled Compounds 1-gen-2020 Melillo, N.; Grandoni, S.; Cesari, N.; Brogin, G.; Puccini, P.; Magni, P.
Mechanistic multi-scale systems pharmacokinetics model applied for the anticancer drug Gemcitabine in pancreatic cancer 1-gen-2017 Garcia Cremades, M.; Melillo, Nicola; Magni, Paolo; Troconiz, I. F.
Mechanistic Multiscale Pharmacokinetic Model for the Anticancer Drug 2',2'-difluorodeoxycytidine (Gemcitabine) in Pancreatic Cancer 1-gen-2020 Garcia-Cremades, M.; Melillo, N.; Troconiz, I. F.; Magni, P.
Multiscale mechanistic models in Systems Pharmacology: development of a model describing Atorvastatin pharmacokinetics through integration of metabolic network in Physiologically Based Pharmacokinetic models 1-gen-2017 Melillo, Nicola; Pasotti, Lorenzo; Magni, Paolo
mvLognCorrEst: an R package for sampling from multivariate lognormal distributions and estimating correlations from uncomplete correlation matrix 1-gen-2023 De Carlo, A.; Tosca, E. M.; Melillo, N.; Magni, P.
Predicting Aqueous and Intrinsic Solubility of Pharmaceutical Molecules with Neural Networks 1-gen-2020 Melillo, N.; Podrecca, C.; Bartolucci, R.; Magni, P.
Uncertainty and sensitivity analysis for mechanistic models in pharmacometrics 30-gen-2020 Melillo, Nicola
Variance based global sensitivity analysis of a mechanistic model for the pharmacokinetics of inhaled compounds in rats 1-gen-2019 Melillo, N.; Grandoni, S.; Cesari, N.; Brogin, G.; Puccini, P.; Magni, P.
Variance based Global Sensitivity Analysis of a Mechanistic Physiological Absorption model for BCS I-IV compounds 1-gen-2018 Melillo, N.; Aarons, L.; Magni, P.; Darwich, A. S.