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6793553 
Journal Article 
Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models 
Weaver, RJ; Jensen, KG; Juhila, S; Klingmueller, U; Labbe, G; Liguori, MJ; Lovatt, CA; Morgan, P; Naisbitt, DJ; Pieters, RHH; Snoeys, Jan; Blomme, EA; van De Water, Bob; Williams, DP; Park, BK; Chadwick, AmyE; Copple, IanM; Gerets, HHJ; Goldring, CE; Guillouzo, A; Hewitt, PG; Ingelman-Sundberg, M; , 
2020 
Nature Reviews. Drug Discovery
ISSN: 1474-1776
EISSN: 1474-1784 
NATURE PUBLISHING GROUP 
LONDON 
131-148 
Drug-induced liver injury (DILI) is a patient-specific, temporal, multifactorial pathophysiological process that cannot yet be recapitulated in a single in vitro model. Current preclinical testing regimes for the detection of human DILI thus remain inadequate. A systematic and concerted research effort is required to address the deficiencies in current models and to present a defined approach towards the development of new or adapted model systems for DILI prediction. This Perspective defines the current status of available models and the mechanistic understanding of DILI, and proposes our vision of a roadmap for the development of predictive preclinical models of human DILI.