Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials

Research article (Computers in Biology and Medicine, 2022) · cited 18× · AI/ML
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Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials

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Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-machine-learning-approaches-for-predicting-failures-of-investigational-drug-candidates-during-clinical-trials
MLA “Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-machine-learning-approaches-for-predicting-failures-of-investigational-drug-candidates-during-clinical-trials.
BibTeX @misc{4ortxyz_assessing-machine-learning-approaches-for-predicting-failures-of-investigational-drug-candidates-during-clinical-trials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-machine-learning-approaches-for-predicting-failures-of-investigational-drug-candidates-during-clinical-trials}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials — https://4ort.xyz/entity/assessing-machine-learning-approaches-for-predicting-failures-of-investigational-drug-candidates-during-clinical-trials (retrieved 2026-05-24)

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