A new method for diagnosing diabetes using high-frequency ultrasound and a convolutional neural network was developed. The method is based on the observation that glucose in red blood cells forms glycated hemoglobin and accumulates on its surface. The results confirmed the efficacy of the CNN-based approach with a classification accuracy of 0.98. This non-invasive diagnostic technology holds promise for in vivo diagnosis without the need for blood collection.
Saccharomyces boulardii is a yeast that scientists discovered in the peels of certain tropical fruit Trusted Source. Its probiotic strain, S. boulardii CNCM I-745, was the first yeast that scientists studied as a probiotic for human medicine. Probiotics are supplements that contain live microbes that may have health benefits. S. boulardii CNCM I-745 has some properties that make it potentially […]
A new study published in The American Journal of Clinical Nutrition found that whole grains can significantly reduce LDL cholesterol, triacylglycerol, and the ratio of total to high-density lipoprotein cholesterol in children. Whole grain diets were additionally found to promote the growth of beneficial gut microbiota and reduce fatigue without any negative impacts on child […]
A new study has found that sedentary time in childhood is linked to heart damage later in life, even in those with normal weight and blood pressure. The study, which was presented at ESC Congress 2023, found that each one-minute increase in sedentary time from childhood to young adulthood was associated with a 0.004 g/m2.7 […]