Innovative new model predicts glucose levels without poking or prodding.
Leia WedlundJoseph C KvedarPublished in: NPJ digital medicine (2021)
With the prevalence of type II diabetes rising rapidly it has become increasingly apparent that something must be done to stem the tide. While pharmaceutical treatments aimed at lowering average blood sugar are an important tool in this endeavor, it is equally (if not more) important to motivate patients to make healthy diet and exercise choices. Recent advances in non-invasive glucose monitoring suggest that real-time patient feedback may soon be available to help guide daily patient decision-making.
Keyphrases
- end stage renal disease
- physical activity
- decision making
- case report
- newly diagnosed
- type diabetes
- ejection fraction
- chronic kidney disease
- risk factors
- prognostic factors
- peritoneal dialysis
- blood glucose
- magnetic resonance imaging
- metabolic syndrome
- skeletal muscle
- magnetic resonance
- body composition
- diffusion weighted imaging
- patient reported
- contrast enhanced