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Pharmacology Research & Perspectives|April 3, 2026
Improving Population Pharmacokinetic Modelling with Artificial Patients using Generative Artificial IntelligenceVerena Schöning, Felix Hammann
Pharmaceutics|September 23, 2022
Drug-Disease Severity and Target-Disease Severity Interaction Networks in COVID-19 PatientsVerena Schöning, Felix Hammann
Toxicology Letters|October 14, 2018
The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural NetworksVerena Schöning, Stephan Krähenbühl, Jürgen Drewe
Journal of Applied Toxicology : JAT|October 17, 2018
Prediction of clinically relevant drug-induced liver injury from structure using machine learningFelix Hammann, Verena Schöning, Jürgen Drewe
Frontiers in Pharmacology|February 28, 2022
Effectiveness of Antiviral Therapy in Highly-Transmissible Variants of SARS-CoV-2: A Modeling and Simulation StudyVerena Schöning, Charlotte Kern, Carlos Chaccour, et al.
Frontiers in Pharmacology|March 29, 2021
Modeling of SARS-CoV-2 Treatment Effects for Informed Drug RepurposingCharlotte Kern, Verena Schöning, Carlos Chaccour, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|October 4, 2017
Editor's Highlight: Identification of Any Structure-Specific Hepatotoxic Potential of Different Pyrrolizidine Alkaloids Using Random Forests and Artificial Neural NetworksVerena Schöning, Felix Hammann, Mark Peinl, et al.
Frontiers in Pharmacology|August 9, 2021
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine AlkaloidsChristoph Helma, Verena Schöning, Jürgen Drewe, et al.
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