The Association Between Nutritional Risk and Bone Stiffness in Elderly Men and Women in a Population-Based Study in Northeast Germany.

Background: The Geriatric Nutritional Risk Index (GNRI) has shown promising potential for identifying individuals at risk for osteoporosis in various patient cohorts. However, data from the general population confirming or refuting the usefulness of the GNRI as a risk factor for osteoporosis are sparse. We therefore aimed to clarify whether the GNRI is associated with the ultrasound-based bone stiffness index and the osteoporotic fracture risk in a sample of elderly men and women from the general population.

XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets.

The Explainable Modular Neural Network (XModNN) enables the identification of biomarkers, facilitating the classification of diseases and clinical parameters in transcriptomic datasets. The modules within XModNN represent specific pathways or genes of a functional hierarchy. The incorporation of biological insights into the architectural design reduced the number of parameters.

Effects of metformin on postprandial blood pressure, heart rate, gastric emptying, GLP-1 and the prevalence of postprandial hypotension in type 2 diabetes - a double-blind, placebo-controlled crossover study.

Individuals with type 2 diabetes are at high risk of postprandial falls in blood pressure (BP) (i.e., a reduction in systolic BP of ≥20mmHg, termed postprandial hypotension (PPH)), which increases the risk of falls and mortality.