May 13, 2024 · Monitoring glucose levels for diabetics and stopping prediabetics from progressing further can be aided by continuous glucose monitoring. The ...
This study proposes to develop an AI-driven precision medicine framework to incorporate data from wrist-worn sensors and glucose monitors to deliver insights.
Jun 13, 2024 · Studies have demonstrated the effectiveness of ML algorithms in predicting glucose levels from wearable sensor data, achieving high levels of ...
From wearable activity trackers to Interstitial Glucose: Data to Insight- A proposed scientific journey. / Ali, Haider; Madanain, Samaneh; White, David et al.
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Fingerprint. Dive into the research topics of 'From wearable activity trackers to Interstitial Glucose: Data to Insight- A proposed scientific journey'.
It demonstrated that ML could facilitate non-invasive blood glucose measurements and opened new opportunities for efficient and objective nutritional-based ...
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, From wearable activity trackers to Interstitial Glucose: Data to Insight- A proposed scientific journey. ; Ali, Haider; Madanain, Samaneh; White, David ...
From wearable activity trackers to Interstitial Glucose: Data to Insight-A proposed scientific journey. H Ali, S Madanain, D White, MN Akhter, IK Niazi.
This study examines the performance of various machine learning (ML) models in predicting Interstitial Glucose (IG) levels using data from wrist-worn wearable ...