The article by Satvik Garg, Shivam Parikh, and Somya Garg, published on September 28, 2023, explores the prominence of Knowledge Graphs (KGs) in Healthcare AI, with a particular focus on their role in drug discovery and pharmaceutical research. The authors highlight that KGs offer a structured way to integrate diverse information sources, thereby enhancing the interpretability of AI systems. This interpretability is crucial in healthcare, where trust and transparency are vital. The authors cover the workflow of KGs, including their construction, relationship extraction, reasoning, and applications in various areas such as Drug-Drug Interactions (DDI), Drug Target Interactions (DTI), Drug Development (DD), Adverse Drug Reactions (ADR), and bioinformatics. The paper emphasizes the importance of making KGs more interpretable through knowledge-infused learning in healthcare and highlights the research challenges and future directions.
Publication date: 28 Sep 2023
Project Page: https://arxiv.org/abs/2309.16593v1
Paper: https://arxiv.org/pdf/2309.16593
