Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types.

Background: Metagenomic high-throughput sequencing (mNGS) represents a powerful tool for detecting nucleic acids from various pathogens, such as bacteria, fungi, viruses and parasites, in clinical samples. Despite its extensively employed in the pathogen diagnosis for various infectious diseases, its application in diagnosing stroke-related infection, and its potential impact on clinical decision-making, anti-infection treatment, clinical intervention, and patient prognosis remain insufficiently explored. Additionally, while mNGS offers promising potential, it facts limitations related to sensitivity, specificity, cost, and standardization, which could influence its integration into routine clinical practice.

Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study.

Background: Cohort studies contain rich clinical data across large and diverse patient populations and are a common source of observational data for clinical research. Because large scale cohort studies are both time and resource intensive, one alternative is to harmonize data from existing cohorts through multicohort studies. However, given differences in variable encoding, accurate variable harmonization is difficult.

Lactoferrin-functionalized PEGylation liposomes loaded with norcantharidin acid for targeted therapy of hepatocellular carcinoma.

Norcantharidin (NCTD), an antitumor agent with an increased leukocyte function, has been used for the treatment of hepatocellular carcinoma (HCC) in clinical. However, the clinical application of NCTD is limited due to its inadequate hydrophilicity and lipophilicity, short half-life (t), as well as adverse effects such as vascular irritation, cardiotoxicity, and nephrotoxicity. Herein, a lactoferrin (Lf) and DSPE-mPEG functionalized liposomes loaded with norcantharidic acid (NCA), an active metabolite of NCTD, was constructed for the targeted therapy of HCC.

Supervision of Pediatric Anesthesia After-Hours: A Survey of Pediatric Anesthetists in Australia and New Zealand.

Background: After-hours pediatric anesthesia may pose increased risks, with a heightened potential for sudden cardio-respiratory decline. While mortality rates are low in Australia and New Zealand, critical events and morbidity occur more frequently and present ongoing challenges. However, little is known about how trainees are supervised during these high-risk periods.

Brain temperature mapping based on chemical exchange saturation transfer signal at 2 ppm.

Background: Brain temperature signifies the thermal homeostasis of the tissue, and may serve as a marker for neuroprotective therapy. Currently, it remains challenging to map the human brain temperature with high spatial resolution. The thermal dependence of chemical exchange saturation transfer (CEST) effects of endogenous labile protons may provide a promising mechanism for the absolute brain temperature imaging.