Synthetic data in generalizable, learning-based neuroimaging.

Synthetic data have emerged as an attractive option for developing machine-learning methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)-a modality where image contrast depends enormously on acquisition hardware and parameters. This retrospective paper reviews a family of recently proposed methods, based on synthetic data, for generalizable machine learning in brain MRI analysis. Central to this framework is the concept of domain randomization, which involves training neural networks on a vastly diverse array of synthetically generated images with random contrast properties.

Macrolide resistance due to (55).

Unlabelled: Antimicrobial resistance (AMR) is a global threat. The identification and characterization of novel resistance genes is integral to AMR surveillance. The (55) gene was originally identified through whole genome sequencing of macrolide-resistant strains of .

Voice of the nurse in paediatric intensive care: a scoping review.

Objectives: The objective was to explore how the voice of the nurse in paediatric intensive care units (PICU) is portrayed in the literature.

Design: Scoping review using the six-step scoping review framework outlined by Arksey and O'Malley.

Data Sources: PubMed, Nursing (OVID), Medline (OVID), CINHAL (EBSCO), SCOPUS and Web of Science online databases.

Modified Delphi expert elicitation of the clinical and economic burden of obstructive hypertrophic cardiomyopathy in England and Northern Ireland.

Objective: To estimate the resource use of patients with obstructive hypertrophic cardiomyopathy (HCM), stratified by New York Heart Association (NYHA) class, in the English and Northern Irish healthcare systems via expert elicitation.

Design: Modified Delphi framework methodology.

Setting: UK HCM secondary care centres (n=24).

Evaluation of rewarding effects of nitazene analogs: results from conditioned place preference tests and in vivo microdialysis experiments in mice.

In illicit drug markets, the most recently expanding new synthetic opioid subclass is benzimidazoles, also known as nitazenes, which were originally developed as analgesics in the 1950s. The emergence of this classical, potent drug family has attracted extensive research interest in the field of forensic toxicology; however, information on their psychological and physical dependence is very limited. Herein, we evaluated the rewarding effects of four nitazene analogs using a battery of in vivo experiments, with a positive control drug (isotonitazene).