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Adam Pacławski
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Heuristic modeling of macromolecule release from PLGA microspheres
J Szlęk, A Pacławski, R Lau, R Jachowicz, A Mendyk
International journal of nanomedicine, 4601-4611, 2013
592013
Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
A Pacławski, J Szlęk, R Lau, R Jachowicz, A Mendyk
International Journal of Nanomedicine, 801-810, 2015
272015
PhEq_bootstrap: Open-source software for the simulation of f2 distribution in cases of large variability in dissolution profiles
A Mendyk, A Pacławski, J Szlek, R Jachowicz
Dissolution Technol 20 (1), 13-7, 2013
262013
Empirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs
J Szlęk, A Pacławski, R Lau, R Jachowicz, P Kazemi, A Mendyk
Computer Methods and Programs in Biomedicine 134, 137-147, 2016
212016
Data-driven modeling of the bicalutamide dissolution from powder systems
A Mendyk, A Pacławski, J Szafraniec-Szczęsny, A Antosik, W Jamróz, ...
AAPS PharmSciTech 21, 1-9, 2020
112020
Curated database and preliminary AutoML QSAR model for 5-HT1A receptor
N Czub, A Pacławski, J Szlęk, A Mendyk
Pharmaceutics 13 (10), 1711, 2021
92021
Evaluation of carrier size and surface morphology in carrier-based dry powder inhalation by surrogate modeling
AAK Farizhandi, A Pacławski, J Szlęk, A Mendyk, YH Shao, R Lau
Chemical Engineering Science 193, 144-155, 2019
92019
Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity
N Czub, J Szlęk, A Pacławski, K Klimonczyk, M Puccetti, A Mendyk
Molecular Pharmaceutics 20 (5), 2545-2555, 2023
72023
Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT1A Receptor Case
N Czub, A Pacławski, J Szlęk, A Mendyk
Pharmaceutics 14 (7), 1415, 2022
72022
Surface modification of pollen-shape carriers for dry powder inhalation through surface etching
TQN Nguyen, HL Giam, Y Wang, A Pacławski, J Szlek, A Mendyk, ...
Industrial & Engineering Chemistry Research 53 (51), 19943-19950, 2014
72014
Puzzle out machine learning model-explaining disintegration process in ODTs
J Szlęk, MH Khalid, A Pacławski, N Czub, A Mendyk
Pharmaceutics 14 (4), 859, 2022
52022
SerotoninAI: Serotonergic System Focused
N Łapińska, A Pacławski, J Szlęk, A Mendyk
Artificial Intelligence-Based Application for Drug Discovery. J Chem Inf Model, 2024
4*2024
Carrier optimization of pulmonary powder systems with using computational intelligence tools
A Pacławski, J Szlęk, TQN Nguyen, R Lau, R Jachowicz, A Mendyk
Powder Technology 329, 76-84, 2018
32018
Application and Multi-Stage Optimization of Daylight Polymer 3D Printing of Personalized Medicine Products
J Pyteraf, A Pacławski, W Jamróz, A Mendyk, M Paluch, R Jachowicz
Pharmaceutics 14 (4), 843, 2022
22022
Quantitative assessment of the physiological parameters influencing QT interval response to medication: application of computational intelligence tools
S Polak, B Wiśniowska, A Mendyk, A Pacławski, J Szlęk
Computational and Mathematical Methods in Medicine 2018, 2018
22018
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors
N Łapińska, A Pacławski, J Szlęk, A Mendyk
Pharmaceutics 16 (3), 349, 2024
2024
Acknowledgment to the Reviewers of Processes in 2022
AB Sabry, A Togay, A Ouadah, A Tabak, AA Kovalev, AM Aboukarima, ...
2023
Acknowledgment to the Reviewers of Pharmaceutics in 2022
A Jalil, A Melcrová, A Alford, AA Da Silva Filho, A Sharma, AO Adebisi, ...
2023
Development and Pharmacokinetics of a Novel Acetylsalicylic Acid Dry Powder for Pulmonary Administration
A Pacławski, S Politis, E Balafas, E Mina, P Papakyriakopoulou, ...
Pharmaceutics 14 (12), 2819, 2022
2022
Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs. Pharmaceutics 2022, 14, 859
J Szlek, MH Khalid, A Pacławski, N Czub, A Mendyk
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
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