From SiliconANGLE · Devony Hof · · 1m
Flahy uses knowledge graphs for AI healthcare
Flahy's AI system connects patient data to personalize treatment decisions using knowledge graphs.
In brief
Flahy's AI system connects patient data to personalize treatment decisions using knowledge graphs. Flahy uses knowledge graphs to link patient data with clinical information for personalized healthcare decisions. Originally reported by SiliconANGLE.
Flahy's AI healthcare approach
Healthcare technology company Flahy Inc. applies ai to clinical decision support using knowledge graphs.
“There’s so much knowledge that we have to process”
Knowledge graph function
The knowledge layer connects data to models to determine what facts matter for treatment decisions.
“The knowledge layer is very critical because it connects your data layer to your model layer”
Patient data integration
Flahy combines genetic mutations and cholesterol markers to interpret clinical findings for personalized care.
“I’m looking for this one person who had a genetic mutation and this specific high cholesterol marker”
Graph technology partners
Flahy works with graph technology companies including neo4j inc to build its knowledge graph system.
“Flahy works with graph technology companies, including neo4j inc”
Longitudinal data challenge
Flahy's system connects wearable device readings with clinical data to track health changes over time.
“We have created our own proprietary engines”
FlahyLife platform
FlahyLife combines biological and health information to guide prevention, early detection and treatment selection.
“We are working with leading clinical laboratories and health systems”
The headline
Flahy uses knowledge graphs to link patient data with clinical information for personalized healthcare decisions.
