Drug safety assessment by machine learning models
Author:
Affiliation:
1. Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA
2. Office of Biostatistics, Office of Translational Science, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
Funder
Research Participation program at the U.S. Food
Oak Rage Institute for Science
U.S. Department of Energy and the U.S. Food and Drug Administration
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10543406.2024.2365976
Reference32 articles.
1. International Multisite Study of Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes for Drug Proarrhythmic Potential Assessment
2. Bagging predictors
3. ICH S7B draft guideline on the non-clinical strategy for testing delayed cardiac repolarisation risk of drugs: a critical analysis
4. The Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative — Update on progress
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