Publication date: Mar 25, 2025

Researchers studying Alzheimer’s disease are using artificial intelligence-powered databases to accelerate the drug discovery process by making it easier to sift through vast amounts of biomedical data. That involves confirming the targets can cause changes in brain cells that contribute to disease, and determining whether the targets are -druggable,” she said. Those targets can include biological structures like genes or proteins, which potential drugs aim to affect. Among businesses, knowledge graphs are being used alongside a method called retrieval-augmented generation, or RAG, to help fine-tune the general-purpose AI models offered by companies like Anthropic or OpenAI. That’s why tools like AI and knowledge graphs can provide a much needed boost to scientists and researchers, whether or not they have a bioinformatics background. Knowledge graphs-which are like databases that represent information similar to maps- can show relationships between people, ideas and documents. AI models can also be linked up with vector databases, which are a different format of storing data that represent data as -vectors. “

Semantics

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