Physiologically based pharmacokinetic-quantitative systems toxicology and safety (PBPK-QSTS) modeling approach applied to predict the variability of amitriptyline pharmacokinetics...

por Tylutki, Zofia, Mendyk, Aleksander, Polak, Sebastian
Publicado 2018

Formulation of Dosage Forms with Proton Pump Inhibitors: State of the Art, Challenges and Future Perspectives

por Srebro, Justyna, Brniak, Witold, Mendyk, Aleksander
Publicado 2022

Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor

por Czub, Natalia, Pacławski, Adam, Szlęk, Jakub, Mendyk, Aleksander
Publicado 2021

Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT(1A) Receptor Case

por Czub, Natalia, Pacławski, Adam, Szlęk, Jakub, Mendyk, Aleksander
Publicado 2022

Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks

por Mendyk, Aleksander, Tuszyński, Paweł K, Polak, Sebastian, Jachowicz, Renata
Publicado 2013

Heuristic modeling of macromolecule release from PLGA microspheres

por Szlęk, Jakub, Pacławski, Adam, Lau, Raymond, Jachowicz, Renata, Mendyk, Aleksander
Publicado 2013

Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations

por Pacławski, Adam, Szlęk, Jakub, Lau, Raymond, Jachowicz, Renata, Mendyk, Aleksander
Publicado 2015

Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools

por Polak, Sebastian, Wiśniowska, Barbara, Mendyk, Aleksander, Pacławski, Adam, Szlęk, Jakub
Publicado 2018

Computational Intelligence Modeling of the Macromolecules Release from PLGA Microspheres—Focus on Feature Selection

por Zawbaa, Hossam M., Szlȩk, Jakub, Grosan, Crina, Jachowicz, Renata, Mendyk, Aleksander
Publicado 2016

Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs

por Szlęk, Jakub, Khalid, Mohammad Hassan, Pacławski, Adam, Czub, Natalia, Mendyk, Aleksander
Publicado 2022

Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity

por Czub, Natalia, Szlęk, Jakub, Pacławski, Adam, Klimończyk, Klaudia, Puccetti, Matteo, Mendyk, Aleksander
Publicado 2023

The open-access dataset for insilico cardiotoxicity prediction system

por Polak, Sebastian, Wisniowska, Barbara, Fijorek, Kamil, Glinka, Anna, Polak, Miłosz, Mendyk, Aleksander
Publicado 2011

Application and Multi-Stage Optimization of Daylight Polymer 3D Printing of Personalized Medicine Products

por Pyteraf, Jolanta, Pacławski, Adam, Jamróz, Witold, Mendyk, Aleksander, Paluch, Marian, Jachowicz, Renata
Publicado 2022

Development of In Vitro-In Vivo Correlation/Relationship Modeling Approaches for Immediate Release Formulations Using Compartmental Dynamic Dissolution Data from “Golem”: A Novel A...

por Čulen, Martin, Tuszyński, Paweł K., Polak, Sebastian, Jachowicz, Renata, Mendyk, Aleksander, Dohnal, Jiří
Publicado 2015

From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming

por Mendyk, Aleksander, Güres, Sinan, Jachowicz, Renata, Szlęk, Jakub, Polak, Sebastian, Wiśniowska, Barbara, Kleinebudde, Peter
Publicado 2015

Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems

por Mendyk, Aleksander, Pacławski, Adam, Szafraniec-Szczęsny, Joanna, Antosik, Agata, Jamróz, Witold, Paluch, Marian, Jachowicz, Renata
Publicado 2020

Computational intelligence models to predict porosity of tablets using minimum features

por Khalid, Mohammad Hassan, Kazemi, Pezhman, Perez-Gandarillas, Lucia, Michrafy, Abderrahim, Szlęk, Jakub, Jachowicz, Renata, Mendyk, Aleksander
Publicado 2017

Effect of roll compaction on granule size distribution of microcrystalline cellulose–mannitol mixtures: computational intelligence modeling and parametric analysis

por Kazemi, Pezhman, Khalid, Mohammad Hassan, Pérez Gago, Ana, Kleinebudde, Peter, Jachowicz, Renata, Szlęk, Jakub, Mendyk, Aleksander
Publicado 2017