Cedars-Sinai scientists unveil a powerful agentic AI model, ESCARGOT, that harnesses multiple intelligent agents and biomedical knowledge graphs to deliver sharper, faster, and more reliable ...

Every Cure is building a biomedical knowledge graph, which documents known relationships between biomedical concepts such as drugs, genes, proteins, cell types, tissue types and organ systems. The ...

Causaly today announced new scientific AI agents that provide research teams with the industry's most comprehensive biomedical knowledge for drug discovery. With agentic AI in Causaly Discover ...

Ro5’s platform utilises a biomedical knowledge graph containing more than 85 million nodes and 400m relationships to find new connections in biological processes and enable evaluation of drug ...

Harvard Medical School has unveiled MedAI, a new knowledge graph-based agent set to transform the landscape of medical question-answering. This innovative tool addresses the critical shortcomings ...

In the first study, titled "Knowledge graph AI-based prioritization of drug target candidates" (Abstract LB112/13), Data4Cure researchers leveraged the company's large-scale biomedical knowledge graph ...

Based on its novel AI engine trained on a massive dataset of 350m patients and a rich biomedical knowledge-graph, QuantHealth's simulator can predict clinical trial results with 86% accuracy, ...

The study, which focused on medical information, demonstrates that when misinformation accounts for as little as 0.001 percent of training data, the resulting LLM becomes altered. This ...

In the first study, titled "Knowledge graph AI-based prioritization of drug target candidates" (Abstract LB112/13), Data4Cure researchers leveraged the company's large-scale biomedical knowledge ...