Publications by authors named "A J Sabharwal"

Background: Green space has been linked with cardiovascular (CV) health. Nature access and quality may have significant impact on CV risk factors and health.

Objectives: The authors aimed to investigate the relationship between NatureScore, a composite score for natural environment exposure and quality of green spaces, with CV risk factors and atherosclerotic cardiovascular diseases (ASCVD).

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The exposome encompasses the full range of environmental exposures throughout a person's lifetime and plays an important role in cardiovascular health. Interactions with the social, natural, and built components of the exposome significantly impact cardiovascular disease prevalence and mortality. Robust data analytics, including machine learning and geospatial analysis, have advanced our understanding of how these factors converge to influence cardiovascular disease risk.

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Article Synopsis
  • An error grid is a tool that helps compare glucose levels measured by devices to see if they are correct and to identify any risks.
  • Experts created a new error grid called the DTS Error Grid that works for both blood glucose monitors (BGMs) and continuous glucose monitors (CGMs), organizing accuracy into five risk zones.
  • The results showed that the DTS Error Grid provides a clearer picture of how accurate these devices are and includes a separate matrix to evaluate how well CGMs track glucose trends over time.
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Alzheimer's disease (AD) remains a pressing global health concern, necessitating comprehensive investigations into its underlying molecular mechanisms. While the late-stage pathophysiology of this disease is well understood, it is crucial to examine the role of amyloid beta oligomers (Aβo), which form in the brain during the early stages of disease development. These toxic oligomers could affect neuronal viability and generate oxidative stress in the brain.

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