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Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.
Weaver RJ, Blomme EA, Chadwick AE, Copple IM, Gerets HHJ, Goldring CE, Guillouzo A, Hewitt PG, Ingelman-Sundberg M, Jensen KG, Juhila S, Klingmüller U, Labbe G, Liguori MJ, Lovatt CA, Morgan P, Naisbitt DJ, Pieters RHH, Snoeys J, van de Water B, Williams DP, Park BK. Weaver RJ, et al. Among authors: morgan p. Nat Rev Drug Discov. 2020 Feb;19(2):131-148. doi: 10.1038/s41573-019-0048-x. Epub 2019 Nov 20. Nat Rev Drug Discov. 2020. PMID: 31748707 Free article. Review.
Predicting Drug-Induced Liver Injury with Bayesian Machine Learning.
Williams DP, Lazic SE, Foster AJ, Semenova E, Morgan P. Williams DP, et al. Among authors: morgan p. Chem Res Toxicol. 2020 Jan 21;33(1):239-248. doi: 10.1021/acs.chemrestox.9b00264. Epub 2019 Oct 2. Chem Res Toxicol. 2020. PMID: 31535850
Integrated in vitro models for hepatic safety and metabolism: evaluation of a human Liver-Chip and liver spheroid.
Foster AJ, Chouhan B, Regan SL, Rollison H, Amberntsson S, Andersson LC, Srivastava A, Darnell M, Cairns J, Lazic SE, Jang KJ, Petropolis DB, Kodella K, Rubins JE, Williams D, Hamilton GA, Ewart L, Morgan P. Foster AJ, et al. Among authors: morgan p. Arch Toxicol. 2019 Apr;93(4):1021-1037. doi: 10.1007/s00204-019-02427-4. Epub 2019 Mar 26. Arch Toxicol. 2019. PMID: 30915487
2,422 results