Machine Learning Models for Predicting Liver Toxicity
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-1960-5_15
Reference111 articles.
1. Ashburn TT, Thor KB (2004) Drug repositioning: identifying and developing new uses for existing drugs. Nat Rev Drug Discov 3:673–683. https://doi.org/10.1038/nrd1468
2. Paul SM, Mytelka DS, Dunwiddie CT, Persinger CC, Munos BH, Lindborg SR, Schacht AL (2010) How to improve R&D productivity: the pharmaceutical industry’s grand challenge. Nat Rev Drug Discov 9:203–214. https://doi.org/10.1038/nrd3078
3. Wilke RA, Lin DW, Roden DM, Watkins PB, Flockhart D, Zineh I, Giacomini KM, Krauss RM (2007) Identifying genetic risk factors for serious adverse drug reactions: current progress and challenges. Nat Rev Drug Discov 6:904–916. https://doi.org/10.1038/nrd2423
4. Bourhia M, Ullah R, Alqahtani AS, Ibenmoussa S (2020) Evidence of drug-induced hepatotoxicity in the Maghrebian population. Drug Chem Toxicol 1–5. https://doi.org/10.1080/01480545.2020.1797088
5. Russmann S, Kullak-Ublick GA, Grattagliano I (2009) Current concepts of mechanisms in drug-induced hepatotoxicity. Curr Med Chem 16:3041–3053. https://doi.org/10.2174/092986709788803097
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