Researchers using continuous glucose monitoring uncover how your bedtime habits and sleep length directly affect your blood sugar stability—highlighting sleep as a powerful tool in managing diabetes r...

Low magnesium associated with poor glycemic control and complications in Diabetes patients suggests a study published in the EJIFCC.Diabetes mellitus (DM) is a significant and escalating global...

Announcing a new article publication for BIO Integration journal. Diabetes mellitus remains a global health concern, because of its associated complications, including diabetic nephropathy. Glimepirid...

AI-assisted insulin titration was noninferior to endocrinologists in managing glycemic control among patients with type 2 diabetes.

A study from the University of Nottingham shows that combining Semaglutide with a very-low calorie diet significantly improves weight loss and glycemic control in type 2 diabetes patients.

Study shows that a 5:2 intermittent fasting meal replacement diet effectively controls blood glucose levels and reduces body weight in Chinese adults with early type 2 diabetes. This dietary intervent...

Background: Continuous glucose monitoring (CGM) generates high-frequency time-series data, creating challenges for efficient storage, transmission, and analysis. Objective: This study aimed to develop and evaluate a CGM-specific compression method that achieves high compression ratios while preserving signal fidelity and clinically relevant glycemic metrics. Methods: We introduce a content-based encoding approach (PN+) that represents CGM profiles using physiologically salient landmarks: glucose peaks and nadirs and a small set of optimally selected support points. Reconstruction is performed using piecewise cubic Hermite interpolation. PN+ was evaluated against peaks and nadirs only, uniform downsampling, piecewise aggregate approximation, and autoencoder-based compression. Performance was assessed across multiple compression ratios using 2 complementary datasets: 40,000 synthetic CGM profiles and real-world CGM data from a randomized crossover trial (558 days from 30 patients). Performance was evaluated using compression ratio, mean absolute error, and between original and reconstructed CGM-derived clinical metrics. Results: At a compression ratio of 13 (22 points per 24-hour profile), PN+ achieved substantially lower reconstruction error than comparator methods (mean absolute error=0.77 vs 2.75-3.45) and consistently higher values across glycemic metrics. Improvements were most pronounced for excursion-sensitive measures such as mean amplitude of glycemic excursions, where PN+ reduced error by more than 4-fold compared with downsampling, piecewise aggregate approximation, and autoencoders. These performance advantages were preserved in heterogeneous real-world data. Encoding and decoding required less than 0.2 seconds per profile, supporting practical scalability. Conclusions: PN+ enables robust CGM data compression by explicitly preserving physiologically meaningful glucose dynamics. The method outperforms generic compression techniques in reconstructing clinically relevant metrics while maintaining low computational overhead, making it well suited for large-scale CGM storage, interoperability, and downstream analytics.

Master glycemic control! Learn how food choices, meal timing, and lifestyle impact your blood sugar levels.

Background: The eHealth app introduced a chronic disease management module to enhance the efficiency of clinical consultations and facilitate self-health management. However, there was limited information on health outcomes after using the module. Objective: This study aimed to examine the health outcomes of individuals who used the health management module of an individualized electronic application compared to those who did not. Methods: A randomized controlled trial was conducted with 165 participants, with 82 participants assigned to the control group and 83 participants assigned to the intervention group. Randomization was done via a computer randomizer to evaluate the impact of the eHealth chronic disease management module installation on clinical outcomes such as blood pressure, hemoglobin A1c (HbA1c), renal function tests, estimated glomerular filtration rate, and urine albumin/creatinine ratio. Data were collected at baseline and at follow-up visits at 4 and 8 months. Student t tests and chi-square tests were performed to analyze the difference between the intervention and control groups and examined the potential impact of the use of the eHealth chronic disease management module on various health outcomes. Results: In total, 161 participants were included in the analysis, with an average age of 66.58 (SD 9.75) and 66.49 (SD 8.45) years in control and intervention group respectively. After 4 months, the intervention group showed better glycemic control, with significantly lower mean HbA1c levels (mean 6.76%, SD 0.64%) compared to the control group (mean 7.09%, SD 0.82%, P=.007). Also, more participants in intervention group achieved optimal HbA1c levels (n=58, 73.4%; P=.004) compared to the control group (n=36, 49.3%) in month 4. App usage had significantly decreased when comparing the usage after 4 months (mean 1.88 points, SD 0.81 points) and month 8 (mean 1.39 points, SD 0.72 points; P

Background: Studies have shown a relationship between worse glycemic control and lower cognitive scores in youth with Type 1 Diabetes (T1D). However, most studies only assessed long-term glucose control (e.g., years-decades) and cognition at a single time…

Spatiotemporal mapping of the environment of the mouse small intestine enables the examination of how circulating metabolites and dietary and gut microbial metabolites contribute to aspects of host me...

Study indicates that older women with type 2 diabetes have a higher risk of fractures primarily due to impaired physical function rather than reduced bone density, despite stronger bone structure.

A recent study in the Journal of Clinical Medicine found that oral semaglutide significantly improves glycemic control and reduces body weight in type 2 diabetes patients after 24 weeks of treatment.

A study in Nutrition & Diabetes meta-analyzed randomized clinical trials and found that taurine supplementation significantly reduces key risk factors for metabolic syndrome, such as high blood pressu...