The epidemiological assessment of wine consumption usually has been obtained using self-reporting questionnaires. In this study, two metabolomic approaches, targeted and untargeted, were applied to 24-h urine samples from a cohort of La Rioja (Spain) (aged 52-78), comparing moderate and daily wine consumers (20 males and 13 females) without diet intervention, versus non-consumers (8 males and 35 females). Results showed that the non-targeted metabolomics approach has allowed for the annotation of sixteen compounds in 24-h urine samples from regular wine-consumers that were not detected in the urine of non-wine consumers.
View Article and Find Full Text PDFThis study estimates agricultural soil variables using a non-parametric machine learning technique based on Lipschitz interpolation. This method is adapted for the first time to learn spatio-temporal dynamics, accounting for two-dimensional spatial and one temporal coordinate inputs separately. The estimator is validated on real agricultural data, addressing challenges like measurement noise and quantization.
View Article and Find Full Text PDFObjective: Helicobacter pylori infections have been suggested to be associated with several extra gastric maladies, including hepatobiliary cancer (HBC). However, reports on the relationship between H. pylori infection and HBC showed variable and contrasting findings.
View Article and Find Full Text PDFPurpose: Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a condition associated with high mortality, necessitating prompt recognition and treatment initiation. This study aimed to assess the impact of implementing a clinical care pathway algorithm on reducing the time to treatment for ICI-P.
Methods: Patients with lung cancer and suspected ICI-P were enrolled, and a multimodal intervention promoting algorithm use was implemented in two phases.