A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials
Open Access
- 15 September 2016
- journal article
- resource
- Published by Elsevier BV in Cell Chemical Biology
- Vol. 23 (10), 1294-1301
- https://doi.org/10.1016/j.chembiol.2016.07.023
Abstract
• Computational approach predicts the likelihood of clinical trial toxicity • Identification of molecule and target properties associated with clinical toxicity • Development of a tool to facilitate interaction and interpretation of the modelKeywords
Funding Information
- CAREER grant from National Science Foundation (DB1054964)
- NIH (R01CA194547)
- Starr Cancer Foundation
- Institute for Computational Biomedicine
- PhRMA Foundation Pre Doctoral Informatics Fellowship
- Tri-Institutional Training Program in Computational Biology and Medicine
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