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PBPK models for the prediction of in vivo performance of oral dosage forms

European journal of pharmaceutical sciences, 2014-06, Vol.57 (SI), p.300-321

2014

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VIVD: A virtual in vitro distribution model for predicting intra- and sub-cellular concentrations in toxicity assays

Toxicology letters, 2017-10, Vol.280, p.S290-S290

2017

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In vitro models for the prediction of in vivo performance of oral dosage forms: Recent progress from partnership through the IMI OrBiTo collaboration

European journal of pharmaceutics and biopharmaceutics, 2019-03, Vol.136, p.70-83

2019

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PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals

Toxicology (Amsterdam), 2010-12, Vol.278 (3), p.256-267

2010

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Topical ocular pharmacokinetics and bioavailability for a cocktail of atenolol, timolol and betaxolol in rabbits

European journal of pharmaceutical sciences, 2020-12, Vol.155, p.105553, Article 105553

2020

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Current status and future opportunities for incorporation of dissolution data in PBPK modeling for pharmaceutical development and regulatory applications: OrBiTo consortium commentary

European journal of pharmaceutics and biopharmaceutics, 2020-10, Vol.155, p.55-68

2020

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Quantitative prediction of formulation-specific food effects and their population variability from in vitro data with the physiologically-based ADAM model: A case study using the BCS/BDDCS Class II drug nifedipine

European journal of pharmaceutical sciences, 2014-06, Vol.57, p.240-249

2014

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Danazol oral absorption modelling in the fasted dog: An example of mechanistic understanding of formulation effects on drug pharmacokinetics

European journal of pharmaceutics and biopharmaceutics, 2019-08, Vol.141, p.191-209

2019

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Physiologically based mechanistic modelling to predict complex drug–drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut—The effect of diltiazem on the time-course of exposure to triazolam

European journal of pharmaceutical sciences, 2010-03, Vol.39 (5), p.298-309

2010

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Towards unravelling the mechanism of cardiotoxicity of citalopram: Utilisation of mechanistic cardiac electrophysiology modelling with the Simcyp cardiac safety simulator (CSS) to explore various hypotheses

Journal of pharmacological and toxicological methods, 2016-09, Vol.81, p.351-351

2016

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Ocular pharmacokinetics of atenolol, timolol and betaxolol cocktail: Tissue exposures in the rabbit eye

European journal of pharmaceutics and biopharmaceutics, 2021-09, Vol.166, p.155-162

2021

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IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with improved data and modelling strategies

European journal of pharmaceutics and biopharmaceutics, 2020-11, Vol.156, p.50-63

2020

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Quantitative in vitro to in vivo extrapolation of tissues toxicity

Toxicology in vitro, 2015-12, Vol.30 (1), p.203-216

2015

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An in silico PBPK-PD coupled approach to assess zolpidem effect on pre-clinically and clinically measured cardiac repolarisation parameters in the absence and presence of a circadian model of plasma ion concentration

Journal of pharmacological and toxicological methods, 2016-09, Vol.81, p.359-360

2016

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Kinetic values for mechanism-based enzyme inhibition: Assessing the bias introduced by the conventional experimental protocol

European journal of pharmaceutical sciences, 2005-11, Vol.26 (3), p.334-340

2005

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Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

Powder technology, 2021-11, Vol.393, p.1-11

2021

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Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria

Measurement : journal of the International Measurement Confederation, 2021-05, Vol.176, p.109219, Article 109219

2021

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Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms

Agricultural water management, 2022-07, Vol.269, p.107679, Article 107679

2022

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A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture

Engineering applications of artificial intelligence, 2023-04, Vol.120, p.105895, Article 105895

2023

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Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

Journal of hydrology (Amsterdam), 2023-02, Vol.617, p.129105, Article 129105

2023

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Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture

Journal of hydrology (Amsterdam), 2022-04, Vol.607, p.127549, Article 127549

2022

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Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Computers and electronics in agriculture, 2022-07, Vol.198, p.107121, Article 107121

2022

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Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach

Applied energy, 2022-11, Vol.326, p.119925, Article 119925

2022

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Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models

Journal of hydrology (Amsterdam), 2022-03, Vol.606, p.127330, Article 127330

2022

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Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection

Agricultural water management, 2022-10, Vol.272, p.107812, Article 107812

2022

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PBPK models for the prediction of in vivo performance of oral dosage forms

VIVD: A virtual in vitro distribution model for predicting intra- and sub-cellular concentrations in toxicity assays

In vitro models for the prediction of in vivo performance of oral dosage forms: Recent progress from partnership through the IMI OrBiTo collaboration

PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals

Topical ocular pharmacokinetics and bioavailability for a cocktail of atenolol, timolol and betaxolol in rabbits

Current status and future opportunities for incorporation of dissolution data in PBPK modeling for pharmaceutical development and regulatory applications: OrBiTo consortium commentary

Quantitative prediction of formulation-specific food effects and their population variability from in vitro data with the physiologically-based ADAM model: A case study using the BCS/BDDCS Class II drug nifedipine

Danazol oral absorption modelling in the fasted dog: An example of mechanistic understanding of formulation effects on drug pharmacokinetics

Physiologically based mechanistic modelling to predict complex drug–drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut—The effect of diltiazem on the time-course of exposure to triazolam

Towards unravelling the mechanism of cardiotoxicity of citalopram: Utilisation of mechanistic cardiac electrophysiology modelling with the Simcyp cardiac safety simulator (CSS) to explore various hypotheses

Ocular pharmacokinetics of atenolol, timolol and betaxolol cocktail: Tissue exposures in the rabbit eye

IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with improved data and modelling strategies

Quantitative in vitro to in vivo extrapolation of tissues toxicity

An in silico PBPK-PD coupled approach to assess zolpidem effect on pre-clinically and clinically measured cardiac repolarisation parameters in the absence and presence of a circadian model of plasma ion concentration

Kinetic values for mechanism-based enzyme inhibition: Assessing the bias introduced by the conventional experimental protocol

Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria

Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms

A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture

Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach

Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models

Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection

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