VTE incidence shortens survival in IDH-WT glioblastoma.

Background: Venous thromboembolisms (VTE's) are the second leading cause of death in cancer patients. While previous analyses have demonstrated VTE rates are greater in GBM patients using smaller patient cohorts in high-grade glioma, since the release of the update 5 edition of the World Health Organization (WHO) classification a systematic analysis in a large-scale cohort of patients with IDH-wildtype GBM with clinical outcomes is lacking.

Methods: This study utilizes the online database, TriNetx, to build patient cohorts for outcomes analysis.

Acceptability of digital health intervention during pregnancy to inform women about postpartum contraception (DIGICAP): a pilot randomised controlled study.

Background: Pregnancy within a year of childbirth has negative impacts on women and their children's health. We developed a digital health intervention (DHI) to empower women in contraceptive choices postpartum. Our pilot randomised controlled trial (RCT) aimed to establish the feasibility of a main RCT of the effects of the DHI compared with standard care on long-acting contraception use.

Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.

Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.

The Bifidogenic Effect of 2'Fucosyllactose Is Driven by Age-Specific Species, Demonstrating Age as an Important Factor for Gut Microbiome Targeted Precision Medicine.

Background: The human gut microbiota develops in concordance with its host over a lifetime, resulting in age-related shifts in community structure and metabolic function. Little is known about whether these changes impact the community's response to microbiome-targeted therapeutics. Providing critical information on this subject, faecal microbiomes of subjects from six age groups, spanning from infancy to 70-year-old adults (n = six per age group) were harvested.

Toward Automated Preprocessing of Untargeted LC-MS-Based Metabolomics Feature Lists from Human Biofluids.

Maximizing the extraction of true, high-quality, nonredundant features from biofluids analyzed via LC-MS systems is challenging. Here, the R packages IPO and AutoTuner were used to optimize XCMS parameter settings for the retrieval of metabolite or lipid features in both ionization modes from either faecal or urine samples from two cohorts ( = 621). The feature lists obtained were compared with those where the parameter values were selected manually.