Drug Related

Drug-related research currently focuses on improving drug discovery, repurposing, and safety through computational methods. This involves developing and refining machine learning models, including graph neural networks, transformer networks, and ensemble methods, to analyze diverse data sources like text corpora (e.g., Reddit posts, clinical documents), biological networks, and omics data to predict drug-target interactions, identify adverse drug events, and prioritize potential drug candidates. These advancements aim to accelerate drug development, enhance personalized medicine, and improve patient safety by facilitating more efficient and accurate analysis of complex biomedical information.