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SCHARE

Science Collaborative for Health and Artificial intelligence Reduction of Errors

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Resources

SCHARE Grand Challenges

Current Data Challenges

  • Data Integration and Reimagined Computations

    Infographic with a header of Advance Whole-Person Data Integration and Reimagine Data Science Computations and Analytics to Address Chronic Disease Disparity Grand Challenge and the Whole-Person Health Research diagram showing a central human figure surrounded by five interconnected factors: Biologic Factors, Behavioral and Mental Health Factors, Environmental Factors, Healthcare Factors, and Social and Community Factors. The diagram illustrates that these factors interact to support whole-person health research.

    Reimagine how biological, behavioral, environmental, healthcare, and population data are integrated into validated, AI-ready whole-person exposome data, while advancing computational approaches to chronic disease disparities research.

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  • Digital Twins and Synthetic Population Modeling

    Infographic with a header of Digital Twins and or Synthetic Data Population Modeling for Whole-Person Health to Mitigate Chronic Disease Disparities Grand Challenge and the Whole-Person Health Research diagram showing a central human figure surrounded by five interconnected factors: Biologic Factors, Behavioral and Mental Health Factors, Environmental Factors, Healthcare Factors, and Social and Community Factors. The diagram illustrates that these factors interact to support whole-person health research.

    Build and validate scientifically rigorous digital twins and synthetic population models that integrate biology, behavior, environment, healthcare, and daily living to model whole-person health and/or population health and chronic disease disparities.

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  • Smart Devices and Sensing Technologies

    Infographic with a header of Smart Devices and Sensing Technologies to Mitigate Chronic Disease Disparities Grand Challenge and the Whole-Person Health Research diagram showing a central human figure surrounded by five interconnected factors: Biologic Factors, Behavioral and Mental Health Factors, Environmental Factors, Healthcare Factors, and Social and Community Factors. The diagram illustrates that these factors interact to support whole-person health research.

    Create affordable, interoperable smart devices and sensing technologies that generate reliable, AI-ready whole-person or population exposome data in real-world settings to help mitigate chronic disease disparities.

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