The Use of MPS in Three Rs and Regulatory Applications: Perspectives From Developers on Stakeholder Responsibilities.

Increasing the use of microphysiological systems (MPS) in Three Rs and regulatory applications is a nuanced but important goal, which would also help increase their scientific impact. There are three distinct and important stakeholder groups that each play a unique role in expediting the use of MPS for regulatory purpose - namely, commercial MPS developers, end-users and regulators. Additionally, non-profit organisations, such as the 3Rs Collaborative (3RsC), can help coordinate these efforts.

Patient's Perception of Primary Health Care Provision With Respect to Access, Continuity and Coordination-InCept: An International Qualitative Perspective.

Health care systems are confronted with an increasing burden of (multi-)morbidity and a shortfall of healthcare providers. Coordination and continuity of care in chronic and multi-morbid patient is especially important. As qualitative patient experience data within care processes is scarce, we aim to increase the understanding of chronically ill patient's perspectives by assessing patient experiences in different health systems while treated in primary care.

Accelerated Infant Brain Rhythm Maturation in Autism.

Electroencephalography (EEG) captures characteristic oscillatory shifts in infant brain rhythms over the first year of life, offering unique insights into early functional brain development and potential markers for detecting neural differences associated with autism. This study used functional principal component analysis (FPCA) to derive dynamic markers of spectral maturation from task-free EEG recordings collected at 3, 6, 9, and 12 months from 87 infants, 51 of whom were at higher likelihood of developing autism due to an older sibling diagnosed with the condition. FPCA revealed three principal components explaining over 96% of the variance in infant power spectra, with power increases between 6 and 9 Hz (FPC1) representing the most significant age-related trend, accounting for more than 71% of the variance.

Functional Mixed Membership Models.

Mixed membership models, or partial membership models, are a flexible unsupervised learning method that allows each observation to belong to multiple clusters. In this paper, we propose a Bayesian mixed membership model for functional data. By using the multivariate Karhunen-Loève theorem, we are able to derive a scalable representation of Gaussian processes that maintains data-driven learning of the covariance structure.

Comparing reported management of ureteric stones between clinical audit and administrative datasets: An opportunity to streamline clinical audit.

Objectives: To compare recorded patient management between a clinical audit and administrative dataset for patients presenting with ureteric stones in England and to assess the feasibility of using administrative data for routine audit.

Patients And Methods: The British Association of Urological Surgeons conducted a clinical audit of all patients presenting as an emergency to 107 hospitals in England during November 2020 with ureteric stones. All patients were followed up until 31st March 2021 and in-patient and out-patient management received recorded.