Prevented fractions of cardiovascular disease cases, by long-term adherence to the Mediterranean diet; the ATTICA study (2002-2022).

Background And Aims: Cardiovascular disease (CVD) and its related co-morbidities, i.e., type 2 diabetes mellitus (T2DM), hypertension and hypercholesterolemia, have an enormous burden on population health and healthcare systems.

Regulation of proglucagon derived peptides by carbohydrate and protein ingestion in young healthy males-A randomized, double-blind, cross-over trial.

Background & Aims: The ingestion of macronutrients triggers the release of several incretin peptides from the gastrointestinal system, which have both insulinotropic and satiety-inducing properties. The effect of the meal's macronutrient content on the secretion of these peptides has not been adequately studied, particularly concerning the secretion of the newly characterized proglucagon-derived peptides (PGDPs). We aimed to examine the effect of a meal's macronutrient content, specifically its protein versus carbohydrate content, on postprandial PGDPs responses in healthy men.

Infant BMI trajectories as early risk markers of poor psychosocial health in preadolescence.

Background: Common mental disorders often emerge during childhood and adolescence, and their prevalence is disproportionately elevated among those affected by obesity. Early life growth patterns may provide a useful target for primordial prevention; however, research is lacking. Therefore, this study aimed to identify distinct body mass index (BMI) trajectories during the first year of life and to assess their associations with psychosocial outcomes in preadolescence (9-13 years).

A federated learning architecture for secure and private neuroimaging analysis.

The amount of biomedical data continues to grow rapidly. However, collecting data from multiple sites for joint analysis remains challenging due to security, privacy, and regulatory concerns. To overcome this challenge, we use federated learning, which enables distributed training of neural network models over multiple data sources without sharing data.