Flahy uses knowledge graphs to support AI-powered healthcare
AI is helping companies interpret biological data for drug discovery and more personalized care. Healthcare technology company Flahy Inc. is applying that approach to clinical decision support, bringing together information that could affect a person’s next step in prevention or treatment, according to Jagjit Singh (pictured, right), founder and chief executive officer of Flahy. “There’s […] The…
Flahy Inc., a healthcare technology company, utilizes knowledge graphs to enhance AI-powered clinical decision support. Founder and CEO Jagjit Singh explained that knowledge graphs connect patient information to support personalized healthcare decisions. These graphs process vast amounts of biological and clinical data, determining the appropriate treatment route for each individual.
Singh provided an example of a hypothetical patient with a specific genetic mutation and cholesterol marker, demonstrating how a new clinical finding could impact treatment decisions in a graphical manner. Flahy collaborates with graph technology companies like Neo4j Inc. to incorporate wearable-device readings into their graph-based databases.
A challenge they face is integrating longitudinal data from various modalities into a coherent graph structure. Flahy's platform, FlahyLife, integrates biological and health information to guide decisions in prevention, early detection, and treatment selection. The company partners with leading clinical laboratories and health systems to deploy their solution, aiming to close care gaps and ensure the right tests are administered at the appropriate time.
Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
