AIMC Topic: Drug-Related Side Effects and Adverse Reactions

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Extracting adverse drug events from clinical Notes: A systematic review of approaches used.

Journal of biomedical informatics Feb 6, 2024
BACKGROUND: An adverse drug event (ADE) is any unfavorable effect that occurs due to the use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text extraction research because it helps with pharmacovigilance and p...
Electronic Health Records Deep Learning Machine Learning Databases, Factual Data Mining Pharmacovigilance Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans
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Control list of high-priority chemicals based on 5-HT-RI functionality and the human health interference effects selective CNN-GRU deep learning model.

The Science of the total environment Jan 4, 2024
The antidepressant drug known as 5-HT reuptake inhibitor (5-HT-RI) was commonly detected in biological tissues and result in significant adverse health effects. Homology modeling was used to characterize the functionalities (efficacy and resistance),...
Humans Drug-Related Side Effects and Adverse Reactions Serotonin Adverse Outcome Pathways Deep Learning Biological Transport Reproducibility of Results
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A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
Predicting drug side effects before they occur is a critical task for keeping the number of drug-related hospitalizations low and for improving drug discovery processes. Automatic predictors of side-effects generally are not able to process the struc...
Drug-Related Side Effects and Adverse Reactions Deep Learning Benchmarking Drug Discovery Humans Neural Networks, Computer
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Overcoming barriers to machine learning applications in toxicity prediction.

Expert opinion on drug metabolism & toxicology Dec 14, 2023
Drug-Related Side Effects and Adverse Reactions Humans Machine Learning Animals
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Computational and artificial intelligence-based approaches for drug metabolism and transport prediction.

Trends in pharmacological sciences Dec 9, 2023
Drug metabolism and transport, orchestrated by drug-metabolizing enzymes (DMEs) and drug transporters (DTs), are implicated in drug-drug interactions (DDIs) and adverse drug reactions (ADRs). Reliable and precise predictions of DDIs and ADRs are crit...
Humans Artificial Intelligence Drug-Related Side Effects and Adverse Reactions Machine Learning Drug Interactions
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Review of machine learning and deep learning models for toxicity prediction.

Experimental biology and medicine (Maywood, N.J.) Dec 6, 2023
The ever-increasing number of chemicals has raised public concerns due to their adverse effects on human health and the environment. To protect public health and the environment, it is critical to assess the toxicity of these chemicals. Traditional ...
Humans Neural Networks, Computer Machine Learning Algorithms Drug-Related Side Effects and Adverse Reactions Deep Learning
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ChatRx: ChatGPT's potential to educate patients on medication adverse effects.

Journal of the American Academy of Dermatology Nov 11, 2023
Patient Education as Topic Drug-Related Side Effects and Adverse Reactions Artificial Intelligence
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Advanced deep learning techniques for early disease prediction in cauliflower plants.

Scientific reports Oct 27, 2023
Agriculture plays a pivotal role in the economies of developing countries by providing livelihoods, sustenance, and employment opportunities in rural areas. However, crop diseases pose a significant threat to both farmers' incomes and food security. ...
Deep Learning Agriculture Humans Disease Management Drug-Related Side Effects and Adverse Reactions Empirical Research
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DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening.

Journal of chemical information and modeling Aug 31, 2023
Recently emerging generative AI models enable us to produce a vast number of compounds for potential applications. While they can provide novel molecular structures, the synthetic feasibility of the generated molecules is often questioned. To address...
Databases, Factual Drug Discovery Humans Drug-Related Side Effects and Adverse Reactions High-Throughput Screening Assays Deep Learning Molecular Structure
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Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework.

Communications biology Aug 24, 2023
Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing comput...
Deep Learning Drug-Related Side Effects and Adverse Reactions Humans Pancreas
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