Aleksander Mendyk

professor with tenure / PhD, DSc

Uniwersytet Jagiellonski Collegium Medicum

Poland

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Articles (16)

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

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Year:

2024

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

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Year:

2024

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

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Year:

2024

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

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Year:

2024

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

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Year:

2023

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

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Year:

2023

Hydrogels as effective wound dressings in support of wounds treatment

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs

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Year:

2022

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

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Year:

2021

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

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Year:

2021

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

Article Link

Year:

2021

Collaborators (7)

Dorota Haznar-Garbacz

Wroclaw Medical University

POLAND

Malgorzata Wesoly

University of Warsaw

POLAND

Marcin Kolaczkowski

Profesor nadzwyczajny/dr hab.

Uniwersytet Jagiellonski Collegium Medicum

POLAND

Alicja Gawalska

Lecturer Assistant

Uniwersytet Jagiellonski Collegium Medicum

POLAND

Przemysław Talik

associate professor

Opole University

POLAND

Witold Brniak

assisstant professor

Uniwersytet Jagiellonski Collegium Medicum

POLAND

Natalia Łapińska

Jagiellonian University

POLAND

Aleksander Mendyk

Research Interests

Explore related searches

Contact this professor

Articles (16)

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 (7)

Dorota Haznar-Garbacz

Malgorzata Wesoly

Marcin Kolaczkowski

Alicja Gawalska

Przemysław Talik

Witold Brniak

Natalia Łapińska

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