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Diabetes

Two values from a blood sample – that's all it takes to detect the onset of diabetes. © RUB, Marquard

Simple and Reliable Early Prediction of Diabetes

stressed out young girl

Childhood stress linked to higher risk of high blood pressure, obesity, diabetes in adults

Bottles of booze. Credit Pixabay

Drugs used to treat Type 2 diabetes reduce alcohol cravings

Ozempic (Semaglutide) injectors

Semaglutide associated with lower risk of suicidal ideations compared to other treatments prescribed for obesity or type 2 diabetes

skinny fat man

Weight re-gained after weight loss results in less muscle, more fat

Stanford engineers have developed an injectable hydrogel depot technology that enables GLP-1 drugs to be administered once every four months, compared to repeated daily injections.

New drug delivery system could reduce daily diabetes shots to just three a year

Insulin package. Pixabay

Room Temperature Storage of Insulin Offers Hope for Vulnerable Diabetes Patients

High insulin levels directly linked to pancreatic cancer

Young teen getting her blood tested

Breakthrough Drug Helps Children with New-Onset Type 1 Diabetes

Ground beef

Red meat consumption associated with increased type 2 diabetes risk

A new clinical study by Klick Labs found that AI and 10 seconds of voice could change the way people screen for diabetes, offering better access and lower costs than current screening methods. The findings, published in Mayo Clinic Proceedings: Digital Health, reported 89 percent accuracy for women and 86 percent for men in predicting Type 2 diabetes from acoustic voice features.

AI and 10 seconds of voice can screen for diabetes, new study reveals

First author Mohit Sodhi of the University of British Columbia.

First epidemiological study links popular weight-loss drugs to stomach paralysis, other serious gastrointestinal conditions

Feet on a bathroom scale

Study finds Tirzepatide more effective in blood sugar control and body weight loss than semaglutide

University of Virginia School of Medicine researcher Daniel J. Cox, PhD, not only developed the GEM program but has used it to manage his type 2 diabetes.

Radical new approach to managing type 2 diabetes receives $3.5 million from NIH

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