Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Aleksander Mendyk

Showing results (11-20 of 57) with videos related to

Pageof 6
Sort By:
Pharmaceutics|October 23, 2021
Curated Database and Preliminary AutoML QSAR Model for 5-HT1A ReceptorNatalia Czub, Adam Pacławski, Jakub Szlęk, et al.
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|May 7, 2014
Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challengesBarbara Wiśniowska, Aleksander Mendyk, Kamil Fijorek, et al.
Pharmaceutics|July 27, 2022
Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT<sub>1A</sub> Receptor CaseNatalia Czub, Adam Pacławski, Jakub Szlęk, et al.
Pharmaceutics|March 28, 2024
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular DescriptorsNatalia Łapińska, Adam Pacławski, Jakub Szlęk, et al.
Polish Journal of Radiology|October 27, 2025
Assessment of X-ray ankle joint image projection correctness with the use of machine learning algorithmsPiotr Dominik Gabryś, Natalia Łapińska, Aleksander Mendyk, et al.
Drug Design, Development and Therapy|April 10, 2013
Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networksAleksander Mendyk, Paweł K Tuszyński, Sebastian Polak, et al.
Nanotechnology, Science and Applications|January 1, 2026
Tiny Diamonds, Big Impact: Unlocking the Structure-Activity Relationship of Antimicrobial NanodiamondsGabriela Wyszogrodzka-Gaweł, Maciej Stróżyk, Marta Skoda, et al.
Pharmaceutics|May 4, 2026
Explainable AI in Pharmaceutics: Grad-CAM Analysis of Surface Dissolution Imaging Using Convolutional Neural NetworksAbdullah Al-Baghdadi, Adam Pacławski, Jakub Szlęk, et al.
Computational and Mathematical Methods in Medicine|March 14, 2018
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence ToolsSebastian Polak, Barbara Wiśniowska, Aleksander Mendyk, et al.
International Journal of Nanomedicine|February 6, 2015
Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulationsAdam Pacławski, Jakub Szlęk, Raymond Lau, et al.
Pageof 6

Showing results (11-20 of 57) with videos related to

Sort By:
Pageof 6
Pharmaceutics|October 23, 2021
Curated Database and Preliminary AutoML QSAR Model for 5-HT1A ReceptorNatalia Czub, Adam Pacławski, Jakub Szlęk, et al.
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|May 7, 2014
Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challengesBarbara Wiśniowska, Aleksander Mendyk, Kamil Fijorek, et al.
Pharmaceutics|July 27, 2022
Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT<sub>1A</sub> Receptor CaseNatalia Czub, Adam Pacławski, Jakub Szlęk, et al.
Pharmaceutics|March 28, 2024
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular DescriptorsNatalia Łapińska, Adam Pacławski, Jakub Szlęk, et al.
Polish Journal of Radiology|October 27, 2025
Assessment of X-ray ankle joint image projection correctness with the use of machine learning algorithmsPiotr Dominik Gabryś, Natalia Łapińska, Aleksander Mendyk, et al.
Drug Design, Development and Therapy|April 10, 2013
Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networksAleksander Mendyk, Paweł K Tuszyński, Sebastian Polak, et al.
Nanotechnology, Science and Applications|January 1, 2026
Tiny Diamonds, Big Impact: Unlocking the Structure-Activity Relationship of Antimicrobial NanodiamondsGabriela Wyszogrodzka-Gaweł, Maciej Stróżyk, Marta Skoda, et al.
Pharmaceutics|May 4, 2026
Explainable AI in Pharmaceutics: Grad-CAM Analysis of Surface Dissolution Imaging Using Convolutional Neural NetworksAbdullah Al-Baghdadi, Adam Pacławski, Jakub Szlęk, et al.
Computational and Mathematical Methods in Medicine|March 14, 2018
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence ToolsSebastian Polak, Barbara Wiśniowska, Aleksander Mendyk, et al.
International Journal of Nanomedicine|February 6, 2015
Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulationsAdam Pacławski, Jakub Szlęk, Raymond Lau, et al.
Pageof 6