Computational modeling approaches and regulatory pathways for drug combinations

Drug Discovery Today, Journal Year: 2025, Volume and Issue: unknown, P. 104345 - 104345

Published: March 1, 2025

Language: Английский

Advancing medical imaging: detecting polypharmacy and adverse drug effects with Graph Convolutional Networks (GCN)

BMC Medical Imaging, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 15, 2024

Abstract Polypharmacy involves an individual using many medications at the same time and is a frequent healthcare technique used to treat complex medical disorders. Nevertheless, it also presents substantial risks of negative medication responses interactions. Identifying addressing adverse effects caused by polypharmacy crucial ensure patient safety improve results. This paper introduces new method Graph Convolutional Networks (GCN) identify side effects. Our strategy developing medicine interaction graph in which edges signify drug-drug intuitive predicated on pharmacological properties hubs symbolize drugs. GCN well-suited profound learning procedure for graph-based representations social information. It can be anticipate probability medicate unfavorable impacts memorize important sedate intuitive. Tests were conducted huge dataset patients’ pharmaceutical records commented with watched arrange approve our strategy. Execution show, was prepared subset this dataset, evaluated through disarray framework. The perplexity network shows precision show categories occasions. discoveries demonstrate empowering advance within recognizable proof antagonistic related polypharmaceuticals. For cardiovascular system target drugs, achieved accuracy 94.12%, 86.56%, F1-Score 88.56%, AUC 89.74% recall 87.92%. respiratory 93.38%, 85.64%, 89.79%, 91.85% 86.35%. And nervous 95.27%, 88.36%, 86.49%, 88.83% 84.73%. research provides significant contribution pharmacovigilance proposing data-driven detect reduce effects, thereby increasing decision-making.

Language: Английский

RCAN-DDI: Relation-aware Cross Adversarial Network for Drug-Drug Interaction Prediction

Journal of Pharmaceutical Analysis, Journal Year: 2024, Volume and Issue: unknown, P. 101159 - 101159

Published: Dec. 1, 2024

Language: Английский