Abstract
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Pankaj Tyagi, Ankish Arya, Prabhat Tripathi, Nidhi Dubey, Uma Shanker Tiwary, Pritish Kumar Varadwaj
Abstract
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A real-time automated patient screening system for clinical trials eligibility in an emergency department: design and evaluation
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Review: role of model-informed drug development approaches in the lifecycle of drug development and regulatory decision-making
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AI-based language models powering drug discovery and development
10.1016/j.drudis.2021.06.009 · doi-reference
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · doi-reference
DrugBank 6.0: the DrugBank Knowledgebase for 2024
10.1093/nar/gkad976 · doi-reference
Natural language processing: state of the art, current trends and challenges
10.1007/s11042-022-13428-4 · doi-reference
Drug-drug interaction extraction from biomedical text using relation BioBERT with BLSTM
10.3390/make5020036 · doi-reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · doi-reference
MIMIC-III, a freely accessible critical care database
10.1038/sdata.2016.35 · doi-reference
A large-scale evaluation of NLP-derived chemical-gene/protein relationships from the scientific literature: implications for knowledge graph construction
10.1371/journal.pone.0291142 · doi-reference
A review of approaches for predicting drug–drug interactions based on machine learning
10.3389/fphar.2021.814858 · doi-reference
BioSentVec: creating sentence embeddings for biomedical texts
10.1109/ichi.2019.8904728 · doi-reference
The use of the area under the ROC curve in the evaluation of machine learning algorithms
10.1016/s0031-3203(96)00142-2 · doi-reference
How can natural language processing help model informed drug development?: a review
10.1093/jamiaopen/ooac043 · doi-reference
Using BERT to identify drug-target interactions from whole PubMed
10.1186/s12859-022-04768-x · doi-reference