Utilizing machine learning algorithms in computer science for drug repurposing

Abstract

This research article explores the application of machine learning (ML) algorithms in computer science for drug repurposing. The study involves using various ML techniques to analyze pharmaceutical data and identify potential new uses for existing drugs. The aim is to demonstrate the efficacy of ML in uncovering hidden correlations and predicting drug-target interactions, which can significantly streamline the drug repurposing process.