Studies from University of Qom Describe New Findings in Obesity, Fitness and Wellness (Pu-gnn: a Positive-unlabeled Learning Method for Polypharmacy Side-effects Detection Based On Graph Neural Networks).

A study conducted by researchers at the University of Qom in Iran explores the risks of harmful side effects caused by polypharmacy, the simultaneous use of multiple drugs. The researchers propose a method called PU-GNN, which utilizes graph neural networks to predict drug side effects. The method involves extracting drug features, reducing uncertainty in input data, and utilizing a graph neural network to predict drug polypharmacies. The study concludes that PU-GNN outperforms other methods in terms of accuracy. This research has been peer-reviewed and provides valuable insights into the field of drug research. [Extracted from the article]