Year: 2025
Type: article
Abstract: The Drug Interaction Checker is made to enhance patient’s safety by providing reliable and quick drug synergy information. Developed with Python's Tkinter library, the application features a use rfriendly interface, real time drug name suggestions, and clear result displays, making it efficient and accessible for both healthcare patients and professional. This tool aims to reduce medication problem and better patient outcomes by giving easy access to critical drug synergy data. A drug to drug interaction, it uses Graph Convolution Networks (GCN) and Deep Neural Networks (DNN) to predict potential drugs interactions. GCN captures the topological relationships of drugs within the system, while the DNN model uses these relationships to predict interactions. By integrating these advanced AI techniques with the userfriendly application, this tool promises to be an efficient resource in clinical settings, significantly enhancing patient’s safety and reducing the risks associated with drug synergy.
Author: Dr. Manu Singh
Institution: Galgotias University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410895177