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Risk Management Machinery

AI platform combines genetic, EHR data to manage disease risk and find targets

October 4, 2018 3:31 PM UTC

A Stanford University team has developed an AI platform that combines genomic and electronic health record data to help manage the risk of disease and identify new therapeutic targets. The group plans to out-license the technology, dubbed hierarchical estimate from agnostic learning (HEAL), or launch a start-up to commercialize it.

In its September paper in Cell, the team described how HEAL uses gene sets associated with a disease and known risk factors from EHR data to assign individuals scores between zero and one, where higher scores equal a greater risk of disease...

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