Nutrient Profiling Models in Low- and Middle-Income Countries Considering Local Nutritional Challenges: A Systematic Review.

Micronutrient deficiencies, undernutrition, and overweight/obesity are prevalent in low- and middle-income countries (LMICs). Nutrient profiling models (NPMs), initially developed to help reduce the prevalence of diet-related chronic diseases in Western countries, could be one solution to promote nutrient-dense foods in LMICs. This study reviewed government-endorsed NPMs implemented in LMICs and assessed their key components in relation to country-specific nutritional challenges.

Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning.

Image-based cell profiling is a powerful tool that compares perturbed cell populations by measuring thousands of single-cell features and summarizing them into profiles. Typically a sample is represented by averaging across cells, but this fails to capture the heterogeneity within cell populations. We introduce CytoSummaryNet: a Deep Sets-based approach that improves mechanism of action prediction by 30-68% in mean average precision compared to average profiling on a public dataset.

Prediction of Hepatocellular Carcinoma and Liver-related Events in Anti-hepatitis D Virus-positive Individuals.

Background & Aims: Chronic hepatitis D (CHD) is the most severe form of chronic viral hepatitis, with a high risk of developing hepatocellular carcinoma (HCC) and liver-related mortality. Risk stratification is needed to guide HCC surveillance strategies and to prioritize treatment with antiviral agents.

Methods: We conducted a multicenter retrospective cohort of anti-hepatitis D virus (HDV)-positive individuals managed at sites in the Netherlands and the United Kingdom.

Daily and Half-yearly Associations between Boundary Diffusion and Parent-adolescent Relationship Quality after Divorce.

Boundary diffusion is a particular risk after divorce and has been associated with adolescents' adjustment problems. Yet, its potential impact on parent-adolescent relationship quality is less straightforward, as previous findings support both an alienation and conflict perspective. Therefore these associations (daily and half-yearly) were examined in recently divorced families, addressing both within-dyad changes and between-dyad differences.

Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning.

Image-based cell profiling is a powerful tool that compares perturbed cell populations by measuring thousands of single-cell features and summarizing them into profiles. Typically a sample is represented by averaging across cells, but this fails to capture the heterogeneity within cell populations. We introduce CytoSummaryNet: a Deep Sets-based approach that improves mechanism of action prediction by 30-68% in mean average precision compared to average profiling on a public dataset.