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Uncovering personalised glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modelling

2022-08-22

Abstract excerpt

<h4>Motivation</h4> Wearable biosensors measure physiological variables with high temporal resolution over multiple days and are increasingly employed in clinical settings, such as continuous glucose monitoring in diabetes care. Such datasets bring new opportunities and challenges, and patients, clinicians and researchers are today faced with a common challenge: how to best capture and summarise relevant informati...

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Literature Corpus work
62912321-633c-5885-b99d-ed9fa8d8414e
DOI
10.1101/2022.08.20.22278813
Open publication

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Uncovering personalised glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modellingDOI 10.1101/2022.08.20.22278813
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