Robotics & Machine Learning Daily News2024,Issue(Feb.6) :20-20.

McGill University Reports Findings in Personalized Medicine (Postprandial glucose-management strategies in type 1 diabetes: Current approaches and prospects with precision medicine and artificial intelligence)

Robotics & Machine Learning Daily News2024,Issue(Feb.6) :20-20.

McGill University Reports Findings in Personalized Medicine (Postprandial glucose-management strategies in type 1 diabetes: Current approaches and prospects with precision medicine and artificial intelligence)

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Abstract

New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting originating from Quebec, Canada, by NewsRx correspondents, research stated, “Postprandial glucose control can be challenging for individuals with type 1 diabetes, and this can be attributed to many factors, including suboptimal therapy parameters (carbohydrate ratios, correction factors, basal doses) because of physiological changes, meal macronutrients and engagement in postprandial physical activity. This narrative review aims to examine the current postprandial glucosemanagement strategies tested in clinical trials, including adjusting therapy settings, bolusing for meal macronutrients, adjusting pre-exercise and postexercise meal boluses for postprandial physical activity, and other therapeutic options, for individuals on open-loop and closed-loop therapies.”

Key words

Quebec/Canada/North and Central America/Artificial Intelligence/Drugs and Therapies/Emerging Technologies/Health and Medicine/Insulin Dependent Diabetes Mellitus/Machine Learning/Nutritional and Metabolic Diseases and Conditions/Peptide Hormones/Peptide Proteins/Personalized Medicine/Personalized Therapy/Proinsulin/Type 1 Diabetes

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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