NIH Study to Evaluate Wearable Sleep Trackers for Alzheimer's Prediction

Tuesday, 10 September 2024, 21:55

NIH funds a study assessing wearable sleep trackers for Alzheimer's prediction. This significant research, led by Joyita Dutta, aims to explore the correlation between sleep patterns and Alzheimer's disease.
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NIH Study to Evaluate Wearable Sleep Trackers for Alzheimer's Prediction

NIH Study Overview

The National Institutes of Health has awarded $3.9 million over five years to Joyita Dutta, a professor of biomedical engineering at the University of Massachusetts Amherst. This study aims to assess the effectiveness of wearable sleep trackers in predicting Alzheimer's disease.

Research Objectives

  • Analyze sleep data collected from subjects.
  • Identify patterns indicative of Alzheimer's risk.
  • Enhance early detection methodologies.

Significance of Study

This research has the potential to transform how Alzheimer's disease is monitored and predicted, potentially leading to earlier interventions and improved patient outcomes.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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