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This article focuses on Flahy's application of knowledge graphs and graph neural networks to enhance clinical decision support by contextualizing biological and clinical data. The core technical contribution lies in using graph-based architectures to model complex relationships between patient variables, such as genetic mutations and cholesterol levels, for personalized treatment pathways.

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Flahy uses knowledge graphs to support AI-powered healthcare

SiliconANGLEOctober 11, 20264 min read

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 post Flahy uses knowledge graphs to support AI-powered healthcare appeared first on SiliconANGLE.

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 so much knowledge that we have to process,” he said “The knowledge…

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