Borlak J - Search Results

1

Toward predictive models for drug-induced liver injury in humans: are we there yet?

Chen M, Bisgin H, Tong L, Hong H, Fang H, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Biomark Med. 2014;8(2):201-13. doi: 10.2217/bmm.13.146. Biomark Med. 2014. PMID: 24521015 Free article. Review.

2

The liver toxicity knowledge base: a systems approach to a complex end point.

Chen M, Zhang J, Wang Y, Liu Z, Kelly R, Zhou G, Fang H, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Clin Pharmacol Ther. 2013 May;93(5):409-12. doi: 10.1038/clpt.2013.16. Epub 2013 Jan 25. Clin Pharmacol Ther. 2013. PMID: 23486446

3

Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver Injury.

McEuen K, Borlak J, Tong W, Chen M. McEuen K, et al. Among authors: borlak j. Int J Mol Sci. 2017 Jun 22;18(7):1335. doi: 10.3390/ijms18071335. Int J Mol Sci. 2017. PMID: 28640208 Free PMC article.

4

High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury.

Chen M, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Hepatology. 2013 Jul;58(1):388-96. doi: 10.1002/hep.26208. Epub 2013 May 27. Hepatology. 2013. PMID: 23258593

5

A unifying ontology to integrate histological and clinical observations for drug-induced liver injury.

Wang Y, Lin Z, Liu Z, Harris S, Kelly R, Zhang J, Ge W, Chen M, Borlak J, Tong W. Wang Y, et al. Among authors: borlak j. Am J Pathol. 2013 Apr;182(4):1180-7. doi: 10.1016/j.ajpath.2012.12.033. Epub 2013 Feb 8. Am J Pathol. 2013. PMID: 23395088 Free article.

6

Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs.

Chen M, Hong H, Fang H, Kelly R, Zhou G, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Toxicol Sci. 2013 Nov;136(1):242-9. doi: 10.1093/toxsci/kft189. Epub 2013 Aug 31. Toxicol Sci. 2013. PMID: 23997115

7

Predicting idiosyncratic drug-induced liver injury: some recent advances.

Chen M, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Expert Rev Gastroenterol Hepatol. 2014 Sep;8(7):721-3. doi: 10.1586/17474124.2014.922871. Epub 2014 May 23. Expert Rev Gastroenterol Hepatol. 2014. PMID: 24857265

8

A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model.

Chen M, Tung CW, Shi Q, Guo L, Shi L, Fang H, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Arch Toxicol. 2014 Jul;88(7):1439-49. doi: 10.1007/s00204-014-1276-9. Epub 2014 Jun 11. Arch Toxicol. 2014. PMID: 24958025 Free PMC article.

9

Drug-induced liver injury: Interactions between drug properties and host factors.

Chen M, Suzuki A, Borlak J, Andrade RJ, Lucena MI. Chen M, et al. Among authors: borlak j. J Hepatol. 2015 Aug;63(2):503-14. doi: 10.1016/j.jhep.2015.04.016. Epub 2015 Apr 22. J Hepatol. 2015. PMID: 25912521 Free article. Review.

10

A Model to predict severity of drug-induced liver injury in humans.

Chen M, Borlak J, Tong W. Chen M, et al. Among authors: borlak j. Hepatology. 2016 Sep;64(3):931-40. doi: 10.1002/hep.28678. Epub 2016 Jul 27. Hepatology. 2016. PMID: 27302180

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

245 results

Search Page

Filters