Neuromuscular fatigue in English Premier League academy football players: Within- and cross-season responses.

Objectives: To examine the within- and cross-season neuromuscular fatigue responses in English Premier League U-18 academy football players.

Design: Twenty-five players from the same team completed weekly countermovement jump and isometric adductor and posterior chain strength tests for a full competitive season.

Methods: Global positioning system measures of training and match total, high-metabolic load and sprint distance were recorded daily and converted into exponentially weighted moving average seven- and twenty-eight-day values.

Return to Sport After ACL Reconstruction With Meniscal Allograft Transplantation Versus Isolated ACL Reconstruction: A Matched-Cohort Study.

Background: Meniscal allograft transplantation (MAT) is indicated in the setting of anterior cruciate ligament (ACL) reconstruction to restore proper arthrokinematics and load distribution for the meniscus-deficient knee. Objective outcomes after ACL reconstruction with concomitant MAT in athletic populations are scarcely reported and highly variable.

Purpose: To compare patient outcomes using an objective functional performance battery, self-reported outcome measures, and return-to-sport rates between individuals undergoing ACL reconstruction with concomitant MAT and a matched group undergoing isolated ACL reconstruction.

Sustained Vascular Inflammatory Effects of SARS-CoV-2 Spike Protein on Human Endothelial Cells.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with systemic inflammation and vascular injury, which contribute to the development of acute respiratory syndrome (ARDS) and the mortality of COVID-19 infection. Moreover, multiorgan complications due to persistent endothelial dysfunction have been suspected as the cause of post-acute sequelae of SARS-CoV-2 infection. Therefore, elucidation of the vascular inflammatory effect of SARS-CoV-2 will increase our understanding of how endothelial cells (ECs) contribute to the short- and long-term consequences of SARS-CoV-2 infection.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.