Patient Experience and Satisfaction With Chiropractic Care: A Systematic Review.

Despite numerous studies that measure satisfaction in patients undergoing chiropractic care, these have not yet been systematically summarized. The aim of this study was to perform a systematic review of existing literature to identify factors that contribute to high levels of satisfaction in chiropractic care. A comprehensive search was conducted to identify quantitative, qualitative, or mixed-methods studies exploring patient experience with chiropractic care.

Stress by Design: A Scoping Review of Structural Stress of Emergency Telecommunicators.

Background: Most agree that occupational stress is caused by workplace strains, tensions, and demands that originate from characteristics of the work. The accumulation of multiple types of stress has been found to have calamitous effects on health and well-being. One such occupation, emergency telecommunicators, experiences a multitude of stressors within their day-to-day work environment.

An updated reference genome sequence and annotation reveals gene losses and gains underlying naked mole-rat biology.

The naked mole-rat (NMR; ) is a eusocial subterranean rodent with a highly unusual set of physiological traits that has attracted great interest amongst the scientific community. However, the genetic basis of most of these traits has not been elucidated. To facilitate our understanding of the molecular mechanisms underlying NMR physiology and behaviour, we generated a long-read chromosomal-level genome assembly of the NMR.

Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing.

Cardiac digital twins are computational tools capturing key functional and anatomical characteristics of patient hearts for investigating disease phenotypes and predicting responses to therapy. When paired with large-scale computational resources and large clinical datasets, digital twin technology can enable virtual clinical trials on virtual cohorts to fast-track therapy development. Here, we present an open-source automated pipeline for personalising ventricular electrophysiological function based on routinely acquired magnetic resonance imaging (MRI) data and the standard 12-lead electrocardiogram (ECG).