Effects of the Oral Health Promotion Program on oral health and oral microbiota changes in diabetic elderly individuals: a quasi-experimental study.

Background: Diabetes with its highly prevalence has become a major contributor to the burden of health care costs worldwide. Recent unequivocal evidence has revealed a bidirectional link between oral health and diabetes. In this study, the effects of the Oral Health Promotion Program (OHPP) on oral hygiene, oral health-related quality of life and glycated haemoglobin (HbA1c) levels in diabetic elderly were examined.

Machine-learning-based cost prediction models for inpatients with mental disorders in China.

Background: Mental disorders are increasingly prevalent, leading to increased medical expenditures. To refine the reimbursement of medical costs for inpatients with mental disorders by health insurance, an accurate prediction model is essential. Per-diem payment is a common internationally implemented payment method for medical insurance of inpatients with mental disorders, necessitating the exploration of advanced machine learning methods for predicting the average daily hospitalization costs (ADHC) based on the characteristics of inpatients with mental disorders.

Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning.

Graph representation learning has been leveraged to identify cancer genes from biological networks. However, its applicability is limited by insufficient interpretability and generalizability under integrative network analysis. Here we report the development of an interpretable and generalizable transformer-based model that accurately predicts cancer genes by leveraging graph representation learning and the integration of multi-omics data with the topologies of homogeneous and heterogeneous networks of biological interactions.

Combining machine learning and single-cell sequencing to identify key immune genes in sepsis.

This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from peripheral blood samples obtained from sepsis patients (n = 23) and healthy controls (n = 10). 5148 differentially expressed genes were identified using the DESeq2 technique and 5636 differentially expressed genes were identified by the limma method(|Log2 Fold Change|≥2, FDR < 0.05).

How age affects human hematopoietic stem and progenitor cells and strategies to mitigate HSPC aging.

Hematopoietic stem cells (HSCs) are central to blood formation and play a pivotal role in hematopoietic and systemic aging. With aging, HSCs undergo significant functional changes, such as an increased stem cell pool, declined homing and reconstitution capacity, and skewed differentiation towards myeloid and megakaryocyte/platelet progenitors. These phenotypic alterations are likely due to the expansion of certain clones, known as clonal hematopoiesis (CH), which leads to disrupted hematopoietic homeostasis, including anemia, impaired immunity, higher risks of hematological malignancies, and even associations with cardiovascular disease, highlighting the broader impact of HSC aging on overall health.