Drug Development.

Background: Gut microbiota modulation of the brain function may present an opportunity to devise preventive or treatment strategies to manage impairments such as cognitive frailty (CF). This study aims to uncover the relationship between CF, gut microbiota, intestinal permeability and proteome.

Method: A total of 137 fecal samples of the elderly were collected, and subjected to DNA analysis, and enzyme-linked immunosorbent assays (ELISA).

Dementia Care Research and Psychosocial Factors.

Background: Behaviour support plans (BSPs) for people in residential aged care (RAC) were mandated nationally in 2019 for those who require, or may require, restrictive practices as part of their care. The legislation aims to reduce and potentially eliminate restrictive practices: long-standing problems of their inappropriate use were highlighted by the Royal Commission into Aged Care Quality and Safety (2018). Many people living with dementia will be impacted: up to 90% experience changed behaviours; 54% of people in RACs have dementia; and approximately 20% experience cognitive decline without a diagnosis.

Predictive Factors for Poor Outcome after Laparoscopic and Open Colposuspension: A Comparative Analysis Using the BSUG Database.

Introduction: Colposuspension has been a well-accepted surgical treatment for stress urinary incontinence (SUI) since 1961. However, there is limited research on predictors of poor outcomes in both laparoscopic colposuspension (LC) and open colposuspension (OC) procedures. This study aimed to identify predictors linked to patient-reported failure after colposuspension.

Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution.

Gastric cancer (GC) is a major cause of global cancer mortality with high levels of heterogeneity. To explore geospatial interactions in tumor ecosystems, we integrated 2,138 spatial transcriptomic regions-of-interest (ROIs) with 152,423 single-cell expression profiles across 226 GC samples from 121 patients. We observed pervasive expression-based intratumor heterogeneity, recapitulating tumor progression through spatially localized and functionally ordered subgroups associated with specific immune microenvironments, checkpoint profiles, and genetic drivers such as SOX9.

A case study on using a large language model to analyze continuous glucose monitoring data.

Continuous glucose monitors (CGM) provide valuable insights about glycemic control that aid in diabetes management. However, interpreting metrics and charts and synthesizing them into linguistic summaries is often non-trivial for patients and providers. The advent of large language models (LLMs) has enabled real-time text generation and summarization of medical data.