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Research presented highlights the benefits of CGM metrics in predicting the progression and risk of the condition.
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Position statement presents the 1-hour post-load plasma glucose (1-h PG) test as a more sensitive and practical method to screen for IH and type 2 diabetes in people at...
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The annual European Association for the Study of Diabetes (EASD) conference in Hamburg on 2-6 October brought together global experts to share findings in diabetes research.
With the advent of digitalisation, diabetes management is moving to smartphone apps, which can ultimately transform the landscape of diabetes care.
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Diabetes technology has made significant strides over recent decades, with CGMs emerging as an advancement in supporting diabetes management.
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Artificial intelligence (AI) has emerged as a transformative tool in healthcare, particularly in supporting diabetes diagnosis and care.
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Type 1, type 2, and gestational diabetes are the most well-known and commonly diagnosed forms of diabetes, but other rarer types of diabetes exist.
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The potential of fasting to help prevent and reverse type 2 diabetes has recently started to gain recognition in the medical community and beyond.
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