AIMC Topic: Drug-Related Side Effects and Adverse Reactions

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Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

European journal of hospital pharmacy : science and practice Jun 24, 2025
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...
Humans Pharmacists Pharmacy Service, Hospital Drug-Related Side Effects and Adverse Reactions Adult France Male Drug Prescriptions Middle Aged Deep Learning Adolescent Hospitals, University Aged Aged, 80 and over Young Adult Retrospective Studies Female
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Pharmacovigilance in the digital age: gaining insight from social media data.

Experimental biology and medicine (Maywood, N.J.) May 27, 2025
Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-related risks. Traditional methods like spontaneous reporting systems and clinical trials are valuable for identifying adverse drug events, but face de...
Humans Pharmacovigilance Adverse Drug Reaction Reporting Systems Machine Learning Social Media Drug-Related Side Effects and Adverse Reactions
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Artificial Intelligence: Applications in Pharmacovigilance Signal Management.

Pharmaceutical medicine Apr 21, 2025
Pharmacovigilance is the science of collection, detection, and assessment of adverse events associated with pharmaceutical products for the ongoing monitoring and understanding of those products' safety profiles. Part of this process, signal manageme...
Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Adverse Drug Reaction Reporting Systems Machine Learning Natural Language Processing Humans Artificial Intelligence
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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

Scientific reports Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Constipation Nausea Vomiting Databases, Pharmaceutical Deep Learning Biological Clocks Big Data Electrodiagnosis Diarrhea Feasibility Studies Humans ROC Curve Digestive System Diseases Drug-Related Side Effects and Adverse Reactions Reproducibility of Results Area Under Curve Predictive Learning Models Gastrointestinal Tract
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TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction.

IEEE journal of biomedical and health informatics Apr 4, 2025
Drug-Drug Interactions (DDI) identification is a part of the drug safety process, that focuses at avoiding potential adverse drug effects that can lead to patient health risks. With the exponential growth in published literature, it becomes increasin...
Natural Language Processing Drug Interactions Drug-Related Side Effects and Adverse Reactions Data Mining Humans Machine Learning Algorithms
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Narrative Search Engine for Case Series Assessment Supported by Artificial Intelligence Query Suggestions.

Drug safety Mar 15, 2025
INTRODUCTION: Manual identification of case narratives with specific relevant information can be challenging when working with large numbers of adverse event reports (case series). The process can be supported with a search engine, but building searc...
Humans Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Search Engine Artificial Intelligence Databases, Factual Narration
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Dual Representation Learning for Predicting Drug-Side Effect Frequency Using Protein Target Information.

IEEE journal of biomedical and health informatics Mar 6, 2025
Knowledge of unintended effects of drugs is critical in assessing the risk of treatment and in drug repurposing. Although numerous existing studies predict drug-side effect presence, only four of them predict the frequency of the side effects. Unfort...
Deep Learning Computational Biology Proteins Humans Drug-Related Side Effects and Adverse Reactions
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A small-scale data driven and graph neural network based toxicity prediction method of compounds.

Computational biology and chemistry Feb 25, 2025
Toxicity prediction is crucial in drug discovery, helping identify safe compounds and reduce development risks. However, the lack of known toxicity data for most compounds is a major challenge. Recently, data-driven models have gained attention as a ...
Graph Neural Networks Machine Learning Humans Drug Discovery Neural Networks, Computer Drug-Related Side Effects and Adverse Reactions
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Effectiveness of Transformer-Based Large Language Models in Identifying Adverse Drug Reaction Relations from Unstructured Discharge Summaries in Singapore.

Drug safety Feb 21, 2025
INTRODUCTION: Transformer-based large language models (LLMs) have transformed the field of natural language processing and led to significant advancements in various text processing tasks. However, the applicability of these LLMs in identifying relat...
Adverse Drug Reaction Reporting Systems Large Language Models Drug-Related Side Effects and Adverse Reactions Patient Discharge Summaries Humans Machine Learning Databases, Factual Natural Language Processing Singapore Patient Discharge
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Artificial intelligence (AI) in pharmacovigilance: A systematic review on predicting adverse drug reactions (ADR) in hospitalized patients.

Research in social & administrative pharmacy : RSAP Feb 12, 2025
INTRODUCTION: Adverse drug reactions (ADRs) significantly impact healthcare systems, leading to increased hospitalization rates and costs. With the growing adoption of artificial intelligence (AI) in healthcare, machine learning (ML) models offer pro...
Pharmacovigilance Humans Machine Learning Artificial Intelligence Hospitalization Drug-Related Side Effects and Adverse Reactions
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