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Watch this video to learn how to use HL7® FHIR® Shorthand (a domain-specific, human-readable language for defining profiles, extensions, and other FHIR artifacts) to more efficiently create a FHIR Implementation Guide:
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Watch this video to get an overview of how UC Davis Health uses HealthShare and Smart on FHIR to integrate genomics results into medical records as interactive discrete result pages:
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Here is a brief walkthrough on the capabilities of IRIS AI Studio platform. It covers one complete flow from loading data into IRIS DB as vector embeddings and retrieving information through 4 different channels (search, chat, recommender and similarity). In the latest release, added docker support for local installation and live version to explore.
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The basic idea is to use Vectors in the mathematical sense. I used geographic coordinates. These are of course only 2-dimensional but much easier to follow as vectors in text analysis with >200 dimensions.
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Building my tech. example provided me with a bunch of findings htt I want to share. The first vectors I touched appeared with text analysis and more than 200 dimensions. I have to confess that I feel well with Einstein's 4 dimensional world. 7 to 15 dimensions populating the String Theory are somewhat across the border. But 200 and more is definitely far beyond my mathematical horizon.
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Watch this video to find out how these digital health startups are improving workflows for disease management, remote patient monitoring, and patient engagement:
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Watch this video to explore InterSystems TotalView For Asset Management, the fully managed cloud software that unifies data, automates data processing tasks, and empowers asset management firms with seamless data integration and flexibility.
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