Prediction of DILI in Humans: Investigating Opportunities in DILIst Data, Chemical Features, Machine Learning and Rule-Based Methods
Author:
Affiliation:
1. Anna University,SSN College of Engineering,Department of Computer Science and Engineering,Chennai,India
2. Tata Consultancy Services Limited,TCS Innovation Labs Life Sciences R&I Division,Kolkata,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385311.pdf?arnumber=10385311
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3. Performance of preclinical models in predicting drug-induced liver injury in humans: a systematic review
4. Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans
5. Deep Learning for Drug-Induced Liver Injury
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