New GraphQL and MCP-based access let AI agents and applications query the living clinical context used by 90% of U.S. clinicians, powering more accurate and explainable outcomes "AI in healthcare is ...

A medical knowledge graph is a specific way that researchers can organize and display information for use in medical research and clinical applications. The concept of a knowledge graph was originally ...

Artificial intelligence systems that recommend medications to hospital patients have long been promised as a way to help ...

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma We structured the STRONG AYA case-mix and core outcome ...

DrugBank, the AI-native knowledge engine for biopharma, today announced a collaboration with Microsoft to bring the DrugBank Knowledge Graph ...

Sit in on any healthtech vendor pitch to a health system this year, and the pattern becomes impossible to miss: Nearly every solution on display has been wrapped in some form of AI. Whether ambient ...

The healthcare industry has no shortage of clinical knowledge. In my experience working with several healthcare clients, I’ve noticed that what it lacks instead is a reliable way to apply that ...

The analysis of cancer biology data involves extremely heterogeneous data sets, including information from RNA sequencing, genome-wide copy number, DNA methylation data reporting on epigenetic ...

This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph ...

ROSEMONT, Ill., April 28, 2026 /PRNewswire/ -- IMO Health today announced the launch of direct access to its Knowledge Graph, a major step forward in enabling healthcare organizations and technology ...