Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Toxicology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00204-020-02778-3.pdf
Reference89 articles.
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3. Akaike H (1974) A new look at statistical model identification. IEEE Trans Autom Control 19:716–723. https://doi.org/10.1109/TAC.1974.1100705
4. Albrecht W, Kappenberg F, Brecklinghaus T et al (2019) Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations. Arch Toxicol 93(6):1609–1637. https://doi.org/10.1007/s00204-019-02492-9
5. Andersson TB, Kanebratt KP, Kenna JG (2012) The HepaRG cell line: a unique in vitro tool for understanding drug metabolism and toxicology in human. Expert Opin Drug Metab Toxicol 8(7):909–920. https://doi.org/10.1517/17425255.2012.685159
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