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Aleksander Mendyk

professor with tenure / PhD, DSc

Uniwersytet Jagiellonski Collegium Medicum

Poland

Research Interests

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Professors in Poland Professors in Pharmaceutical Chemistry Pharmaceutical Chemistry professors in Poland

Articles (34)

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Collaborators (11)

Sebastian Polak

POLAND

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Dorota Haznar-Garbacz

Wroclaw Medical University

POLAND

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Malgorzata Wesoly

University of Warsaw

POLAND

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Marcin Kolaczkowski

Profesor nadzwyczajny/dr hab.

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Alicja Gawalska

Lecturer Assistant

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Przemysław Talik

associate professor

Opole University

POLAND

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Grzegorz Tatoń

assistant professor

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Witold Brniak

assisstant professor

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Mateusz Kurek

Jagiellonian University

POLAND

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Jan Loskot

University of Hradec Králové

CZECH REPUBLIC

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Natalia Łapińska

Jagiellonian University

POLAND

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Aleksander Mendyk

Research Interests

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Articles (34)

Enhancing the Solubility of BCS Class IV Antibiotics to Unleash Their Potential

Development and characterization of metformin hydrochloride hydrogels as potential wound dressings for diabetic foot ulcers

Hypromellose Acetate Succinates as a Single Mebeverine Hydrochloride Release-Modifying Excipient for Fused Deposition Modeling

Towards Chemicals Neurotoxicity Prediction – Deep Symbolic Regression-Based Models

Development of Prolonged-Release Orodispersible Minitablets Containing Bisoprolol Fumarate

Explainable AI in Pharmaceutics: Grad-CAM Analysis of Surface Dissolution Imaging Using Convolutional Neural Networks

‘Let's skip digital stuff and play cards’

Dissolution of fluconazole from 3D-printed prolonged-release tablets: a quantitative evaluation

Assessment of X-ray ankle joint image projection correctness with the use of machine learning algorithms

Machine Learning Tool for New Selective Serotonin and Serotonin–Norepinephrine Reuptake Inhibitors

The Impact of the Core-Shell Fiber Composition on the Properties and Stability of the Electrospun Films

Tiny Diamonds, Big Impact: Unlocking the Structure-Activity Relationship of Antimicrobial Nanodiamonds

Characterization of Itraconazole Solid Dispersions: Comparative Analysis of Supercritical CO2 and Electrospinning Preparation Methods

Target, Treat, and Track: Superparamagnetic Iron Oxide Nanoparticles (SPION) Driven Theranostic Delivery of Antimicrobials to the Lungs

Is PVP K-29/32 an Efficient Stabilizing Excipient in Amorphous Solid Dispersions Containing the Poorly Water-Soluble Drug—Bicalutamide?

Evaluation of the Effect of Formulation Composition and Physicochemical Properties of Omeprazole and Bisoprolol Hemifumarate on Electrospun Nanofibers Characteristics

Harnessing Real-Time UV Imaging and Convolutional Neural Networks (CNNs): Unlocking New Opportunities for Empirical In Vitro–In Vivo Relationship Modelling

2024 AAPS 360 Annual Meeting: Highlights in the Area of In Vitro Release and Dissolution

Application of Hydrophilic Polymers to the Preparation of Prolonged-Release Minitablets with Bromhexine Hydrochloride and Bisoprolol Fumarate

Orodispersible Dosage Forms with Rhinacanthin-Rich Extract as a Convenient Formulation Dedicated to Pediatric Patients

SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery

Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors

Investigating the Impact of Co-processed Excipients on the Formulation of Bromhexine Hydrochloride Orally Disintegrating Tablets (ODTs)

Application of automated machine learning in the identification of multi‐target‐directed ligands blocking PDE4B, PDE8A, and TRPA1 with potential use in the treatment of asthma and COPD

Hydrogels as effective wound dressings in support of wounds treatment

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

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

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

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

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

Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs

Computational Intelligence Model of Orally Disintegrating Tablets: An Attempt to Explain Disintegration Process

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

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

Collaborators (11)

Sebastian Polak

Dorota Haznar-Garbacz

Malgorzata Wesoly

Marcin Kolaczkowski

Alicja Gawalska

Przemysław Talik

Grzegorz Tatoń

Witold Brniak

Mateusz Kurek

Jan Loskot

Natalia Łapińska

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