A. Mendyk

发表

Evaluation of carrier size and surface morphology in carrier-based dry powder inhalation by surrogate modeling

Amir Abbas Kazemzadeh Farizhandi, Raymond Lau, Adam Pacławski, 2019, Chemical Engineering Science.

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

Hossam M. Zawbaa, R. Jachowicz, C. Grosan, 2016, PloS one.

Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challenges.

S. Polak, K. Fijorek, A. Mendyk, 2014, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

7 Decision Support Systems for Pharmaceutical Formulation Development Based on Artificial Neural Networks

R. Jachowicz, A. Mendyk, 2018 .

Decision Support Systems for Pharmaceutical Formulation Development Based on Artificial Neural Networks

Renata Jachowicz, Aleksander Mendyk, R. Jachowicz, 2010 .

The usefulness of artificial neural networks in the evaluation of pulmonary efficiency and antioxidant capacity of welders.

A. Mendyk, E. Kolarzyk, M. Stepniewski, 2006, International journal of hygiene and environmental health.

Mechanistic Physiologically Based Pharmacokinetic (PBPK) Model of the Heart Accounting for Inter-Individual Variability: Development and Performance Verification.

S. Polak, A. Mendyk, Zofia Tylutki, 2017, Journal of pharmaceutical sciences.

In vitro-in vivo extrapolation of drug-induced proarrhythmia predictions at the population level.

S. Polak, K. Fijorek, A. Mendyk, 2014, Drug discovery today.

Enhanced QSAR models for drug‐triggered inhibition of the main cardiac ion currents

S. Polak, J. Szlęk, A. Mendyk, 2015, Journal of applied toxicology : JAT.

Predictive model for L‐type channel inhibition: multichannel block in QT prolongation risk assessment

S. Polak, K. Fijorek, A. Mendyk, 2012, Journal of applied toxicology : JAT.

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

R. Jachowicz, S. Polak, A. Mendyk, 2015, BioMed research international.

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

Mohammad Hassan Khalid, P. Kleinebudde, R. Jachowicz, 2017, Drug design, development and therapy.

KinetDS: An Open Source Software for Dissolution Test Data Analysis

P. Kulinowski, P. Dorożyński, R. Jachowicz, 2012 .

Virtual population generator for human cardiomyocytes parameters: in silico drug cardiotoxicity assessment

S. Polak, K. Fijorek, A. Mendyk, 2012, Toxicology mechanisms and methods.

Slow delayed rectifying potassium current (IKs) – analysis of the in vitro inhibition data and predictive model development

S. Polak, K. Fijorek, A. Mendyk, 2013, Journal of applied toxicology : JAT.

Selective laser sintering (SLS) technique for pharmaceutical applications—Development of high dose controlled release printlets

P. Kulinowski, P. Dorożyński, S. Polak, 2020 .

From in vitro-in vivo relationship (IVIVR) towards in vitro-in vivo extrapolation (IVIVE): A case study of pulmonary delivery systems

R. Jachowicz, S. Polak, A. Mendyk, 2017 .

COMPUTATIONAL INTELLIGENCE FOR PREDICTING BIOLOGICAL EFFECTS OF DRUG ABSORPTION IN LUNGS

Adam Pacławski, J. Szlęk, A. Mendyk, 2019 .

Micronutrients and macronutrients and parameters of antioxidative ability in saliva of women

A. Mendyk, E. Kolarzyk, M. Stepniewski, 2007, Biological Trace Element Research.

Carrier optimization of pulmonary powder systems with using computational intelligence tools

R. Jachowicz, Raymond Lau, Adam Pacławski, 2018 .

Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT1A Receptor Case

Adam Pacławski, J. Szlęk, A. Mendyk, 2022, Pharmaceutics.

Roughness-controlled self-assembly of mannitol/LB agar microparticles by polymorphic transformation for pulmonary drug delivery.

Raymond Lau, A. Mendyk, Yuanyuan Shao, 2015, Molecular pharmaceutics.

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

S. Polak, A. Mendyk, Zofia Tylutki, 2018, Journal of Pharmacokinetics and Pharmacodynamics.

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

A. Mendyk, W. Brniak, J. Srebro, 2022, Pharmaceutics.

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

Adam Pacławski, J. Szlęk, A. Mendyk, 2021, Pharmaceutics.

Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs

Mohammad Hassan Khalid, Adam Pacławski, J. Szlęk, 2022, Pharmaceutics.

The Relationship Between the Evolution of an Internal Structure and Drug Dissolution from Controlled-Release Matrix Tablets

P. Kulinowski, P. Dorożyński, W. Węglarz, 2015, AAPS PharmSciTech.

Neural network as a decision support system in the development of pharmaceutical formulation - focus on solid dispersions

Renata Jachowicz, Aleksander Mendyk, R. Jachowicz, 2005, Expert Syst. Appl..

Machine Learning for the Identification of Hydration Mechanisms of Pharmaceutical-Grade Cellulose Polymers and Their Mixtures with Model Drugs

A. Mendyk, P. Talik, 2021, Applied Sciences.

In Vitro-In Vivo Correlation (IVIVC): From Current Achievements Towards the Future

R. Jachowicz, S. Polak, J. Szlęk, 2018 .

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

Sebastian Polak, Renata Jachowicz, Aleksander Mendyk, 2013, Drug design, development and therapy.

PhEq_bootstrap: Open-Source Software for the Simulation of f2 Distribution in Cases of Large Variability in Dissolution Profiles

R. Jachowicz, Adam Pacławski, J. Szlęk, 2013 .

Novel Application of MRI Technique Combined with Flow-Through Cell Dissolution Apparatus as Supportive Discriminatory Test for Evaluation of Controlled Release Formulations

P. Kulinowski, P. Dorożyński, Anna Młynarczyk, 2010, AAPS PharmSciTech.

In silico prediction of the drug overdose consequences at the heart electrophysiology level

K. Fijorek, A. Mendyk, B. Wiśniowska, 2012, 2012 Computing in Cardiology.

Artificial neural networks (ANNs) as a tool of estimating relation between parameters of anti-oxidative ability and nutritional ingredients in the diet of pregnant women

Aleksander Mendyk, Emilia Kolarzyk, Agata Pietrzycka, 2006, Bio Algorithms Med Syst..

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

Sebastian Polak, Aleksander Mendyk, Jakub Szlek, 2018, Comput. Math. Methods Medicine.

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

Sebastian Polak, Renata Jachowicz, Peter Kleinebudde, 2015, Comput. Math. Methods Medicine.

pplication of artificial neural networks ( ANNs ) and genetic programming ( GP ) or prediction of drug release from solid lipid matrices

Renata Jachowicz, Peter Kleinebudde, Aleksander Mendyk, 2012 .

Analysis of pellet properties with use of artificial neural networks.

Jakub Szlęk, Renata Jachowicz, Aleksander Mendyk, 2010, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Artificial Neural Networks as Modeling Tools in the Identification of Drugs Release Mechanisms from Hydrodynamically-Balanced Systems Formulated with Various Polymers

Renata Jachowicz, Aleksander Mendyk, Przemyslaw Dorozynski, 2007, 2007 International Joint Conference on Neural Networks.

Artificial Neural Networks asModeling Tools intheIdentification ofDrugsRelease Mechanisms fromHydrodynamically-Balanced Systems Formulated withVarious Polymers.

Aleksander Mendyk, Przemysław Dorożyński, P. Dorożyński, 2007 .

ME_expert 2.0: a heuristic decision support system for microemulsions formulation development

Renata Jachowicz, Aleksander Mendyk, Jakub Szlȩk, 2013 .

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

R. Jachowicz, M. Paluch, Adam Pacławski, 2022, Pharmaceutics.

Empirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs

Pezhman Kazemi, Renata Jachowicz, Aleksander Mendyk, 2016, Comput. Methods Programs Biomed..

From Black-Box to Transparent Computational Intelligence Models: A Pharmaceutical Case Study

Mohammad Hassan Khalid, Renata Jachowicz, Aleksander Mendyk, 2015, 2015 13th International Conference on Frontiers of Information Technology (FIT).

Artificial intelligence technology as a tool for initial GDM screening

Aleksander Mendyk, Sebastian Polak, S. Polak, 2004, Expert Syst. Appl..

Evolutionary Algorithms in Modeling Aerodynamic Properties of Spray-Dried Microparticulate Systems

R. Jachowicz, S. Polak, Adam Pacławski, 2020, Applied Sciences.

Unified methodology of neural analysis in decision support systems built for pharmaceutical technology

Renata Jachowicz, Aleksander Mendyk, R. Jachowicz, 2007, Expert Syst. Appl..

Transparent computational intelligence models for pharmaceutical tableting process

Mohammad Hassan Khalid, Pezhman Kazemi, Renata Jachowicz, 2016, Complex Adapt. Syst. Model..

The Relationship Between the Evolution of an Internal Structure and Drug Dissolution from Controlled-Release Matrix Tablets

P. Kulinowski, P. Dorożyński, W. Węglarz, 2016, AAPS PharmSciTech.

Report on the Virtual Workshop: A Quest for Biowaiver, Including Next Generation Dissolution Characterization and Modeling

Andreas M. Abend, P. Dorożyński, S. Polak, 2023, Dissolution Technologies.

Artificial neural networks based modeling for pharmacoeconomics application

Sebastian Polak, Aleksander Mendyk, Agnieszka Skowron, 2008, Appl. Math. Comput..

The open-access dataset for insilico cardiotoxicity prediction system

S. Polak, K. Fijorek, A. Mendyk, 2011, Bioinformation.

Prediction of the hERG potassium channel inhibition potential with use of artificial neural networks

Sebastian Polak, Aleksander Mendyk, Barbara Wisniowska, 2011, Appl. Soft Comput..

Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems

R. Jachowicz, M. Paluch, Adam Pacławski, 2020, AAPS PharmSciTech.

Heuristic modeling of macromolecule release from PLGA microspheres

Jakub Szlęk, Renata Jachowicz, Aleksander Mendyk, 2013, International journal of nanomedicine.

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

Adam Pacławski, J. Szlęk, A. Mendyk, 2023, Molecular pharmaceutics.

Surface Modification of Pollen-Shape Carriers for Dry Powder Inhalation through Surface Etching

Yabo Wang, Raymond Lau, Adam Pacławski, 2014 .

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

Jakub Szlęk, Renata Jachowicz, Aleksander Mendyk, 2015, International journal of nanomedicine.

Gastroretentive drug delivery systems with L-dopa based on carrageenans and hydroxypropylmethylcellulose.

P. Kulinowski, P. Dorożyński, R. Jachowicz, 2011, International journal of pharmaceutics.

ToxComp ∔ In vitro-in vivo extrapolation system for drug proarrhythmic potency assessment

S. Polak, B. Wisniowska, K. Fijorek, 2012, 2012 Computing in Cardiology.

Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems

Renata Jachowicz, Aleksander Mendyk, Adam Pacławski, 2020, AAPS PharmSciTech.

Artificial neural networks based Internet hypertension prediction tool development and validation

Sebastian Polak, Aleksander Mendyk, S. Polak, 2008, Appl. Soft Comput..

Neural System for in silico Drug-Drug Interaction Screening

Sebastian Polak, Aleksander Mendyk, Jerzy Brandys, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).