Relevant Publications

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  • Kropp TJ et al. FDA engages collaborators to address nonclinical data challenges. Therap Innov & Reg Sci 2013; 47(1):41-5
  • Kasturi J et al. Interconnectivity of disparate nonclinical data silos for drug discovery and development. Therap Innov & Reg Sci 2014; 48(4):498-506
  • Bai and Abernethy. Systems pharmacology to predict drug toxicity: integration across levels of biological organization. Annu Rev Pharmacol Toxicol 2012; 53:451-473
  • Chen M et al. FDA-approved drug labeling for the study of drug-induced liver injury. Drug Discovery Today 2011; 16(15/16):697-703
  • Parkinson J et al. Application of data mining and visualization techniques for the prediction of drug-induced nausea in man. Tox Sci 2012; 126(1):275-284
  • Briggs K et al. Inroads to predict in vivo toxicology - an introduction to the eTOX project. Int J Molec Sci 2012; 13:3820-3846
  • Valerio LG. In silico toxicology for the pharmaceutical sciences. Tox Appl Pharmacol 2009; 241:356-370
  • Cases M et al. Editorial: Improving data and knowledge management to better integrate health care and research. J Int Med 2013; 274:321-328
  • Olson H et al. Concordance of the toxicity of pharmaceuticals in humans and in animals. Reg Toxicol Pharmacol 2000; 32:56-67
  • Tamaki C et al. Potentials and limitations of nonclinical safety assessment for predicting clinical adverse drug reactions: correlation analysis of 142 approved drugs in Japan. J Toxicol Sci 2013; 38(4):581-598