AIMC Topic: Drug Repositioning

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Drug Repositioning via Multi-View Representation Learning With Heterogeneous Graph Neural Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
Exploring simple and efficient computational methods for drug repositioning has emerged as a popular and compelling topic in the realm of comprehensive drug development. The crux of this technology lies in identifying potential drug-disease associati...
Humans Computational Biology Drug Repositioning Graph Neural Networks Neural Networks, Computer Algorithms
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DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the development of technology and large-scale biological databases, computational drug repositioning has increasingly attracted...
Computational Biology Drug Repositioning Semantics Algorithms Databases, Factual Machine Learning Humans Neural Networks, Computer
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Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning.

IEEE journal of biomedical and health informatics Mar 6, 2025
The traditional drug development process requires a significant investment in workforce and financial resources. Drug repositioning as an efficient alternative has attracted much attention during the last few years. Despite the wide application and s...
Deep Learning Drug Repositioning Semantics Algorithms Databases, Factual Humans Machine Learning
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Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning has emerged as a promising strategy for identifying new therapeutic applications for existing drugs. In this study, we present DRGBCN, a novel computational method that integrates heterogeneous information through a deep bilinear a...
Deep Learning Computational Biology Drug Repositioning Humans Neural Networks, Computer
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Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential targets for drug repurposing.

Scientific reports Feb 27, 2025
The relationship between ischemic stroke (IS) and pyroptosis centers on the inflammatory response elicited by cerebral tissue damage during an ischemic stroke event. However, an in-depth mechanistic understanding of their connection remains limited. ...
Pyroptosis Gene Expression Regulation Drug Repositioning Ischemic Stroke Humans Machine Learning Gene Expression Profiling Transcriptome
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Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.

Scientific reports Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Female Aged Male Middle Aged Adult Angiotensin-Converting Enzyme Inhibitors Calcium Channel Blockers Humans Cardiotonic Agents Anthracyclines Drug Repositioning Retrospective Studies Hydroxymethylglutaryl-CoA Reductase Inhibitors Cardiotoxicity Adrenergic beta-Antagonists Natural Language Processing Electronic Health Records Angiotensin Receptor Antagonists
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A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning.

International journal of pharmaceutics Feb 23, 2025
Psoriasis is a persistent inflammatory skin disorder characterized by hyper-proliferation and abnormal epidermal differentiation. Conventional treatments such as; topical therapies, phototherapy, systemic immune modulators, and biologics aim to relie...
Humans Nanotechnology Dermatologic Agents Animals Psoriasis Machine Learning Drug Repositioning Drug Delivery Systems
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Hyperbolic multivariate feature learning in higher-order heterogeneous networks for drug-disease prediction.

Artificial intelligence in medicine Feb 19, 2025
New drug discovery has always been a costly, time-consuming process with a high failure rate. Repurposing existing drugs offers a valuable alternative and reduces the risks associated with developing new drugs. Various experimental methods have been ...
Drug Repositioning Data Mining Multivariate Analysis Algorithms Drug Discovery Computational Biology Humans Machine Learning
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DSANIB: Drug-Target Interaction Predictions With Dual-View Synergistic Attention Network and Information Bottleneck Strategy.

IEEE journal of biomedical and health informatics Feb 10, 2025
Prediction of drug-target interactions (DTIs) is one of the crucial steps for drug repositioning. Identifying DTIs through bio-experimental manners is always expensive and time-consuming. Recently, deep learning-based approaches have shown promising ...
Drug Interactions Deep Learning Humans Computational Biology Algorithms Drug Repositioning
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HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer's disease.

Journal of translational medicine Feb 1, 2025
BACKGROUND: The traditional process of developing new drugs is time-consuming and often unsuccessful, making drug repurposing an appealing alternative due to its speed and safety. Graph neural networks (GCNs) have emerged as a leading approach for pr...
Drug Repositioning Alzheimer Disease Algorithms ROC Curve Humans Neural Networks, Computer
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