How predictive quantitative modelling of tissue organization can inform liver disease pathogenesis

Journal of Hepatology

Volumn 61, Issue 4, 2014, Pages 951-956

  Drasdo, Dirk ^a,b,c   Hoehme, Stefan ^c   Hengstler, Jan G ^d  

^a INRIA   (France)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^c UNIVERSITY OF LEIPZIG   (Germany)

^d LEIBNIZ RESEARCH CENTRE FOR WORKING ENVIRONMENT AND HUMAN FACTORS   (Germany)

Author keywords

Agent based Modeling; Ammonia; Carbon tetrachloride; Hepatotoxicity; Image quantification; Imaging; Liver regeneration; Liver sinusoidal endothelial cells; Metabolism; Spatial temporal modelling; Systems medicine; Virtual liver

Indexed keywords

AMMONIA; CARBON TETRACHLORIDE;

ARTICLE; COMPUTER SIMULATION; DETOXIFICATION; DISEASE COURSE; HISTOPATHOLOGY; IMAGE ANALYSIS; IMAGE PROCESSING; LIVER DISEASE; LIVER INJURY; LIVER REGENERATION; LIVER STRUCTURE; LIVER TUMOR; MATHEMATICAL MODEL; PARAMETERS; PATHOGENESIS; PRIORITY JOURNAL; ANIMAL; DRUG-INDUCED LIVER INJURY; HUMAN; LIVER; METABOLISM; METHODOLOGY; MULTIMODAL IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES; THEORETICAL MODEL; TRANSLATIONAL RESEARCH;

ANIMALS; COMPUTER SIMULATION; DISEASE PROGRESSION; DRUG-INDUCED LIVER INJURY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; LIVER REGENERATION; MODELS, THEORETICAL; MULTIMODAL IMAGING; RESEARCH DESIGN; TRANSLATIONAL MEDICAL RESEARCH;

EID: 84926409090     PISSN: 01688278     EISSN: 16000641     Source Type: Journal    
DOI: 10.1016/j.jhep.2014.06.013     Document Type: Note

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