Improved Pseudomonas aeruginosa detection through the development of an engineered reporter bacteriophage.

Currently, there is a critical need for the rapid and accurate detection of Pseudomonas aeruginosa, a major pathogen responsible for nosocomial infections and high mortality rates due to its antibiotic resistance and virulence. To address this challenge, a new method is here described based on the development of a genetically engineered reporter bacteriophage that expresses the NLuc luciferase upon bacterial infection. The NLuc luciferase gene was inserted in the previously characterized vB_PaeP_PE3 P.

Are depression, anxiety, and fear-avoidance predictors of outcomes after digital care for chronic musculoskeletal pain?

Background: Despite compelling evidence identifying psychological predictive factors in in-person rehabilitation, their validity in remote digital care settings remains unknown.

Objective: To assess whether fear-avoidance beliefs, depression, and anxiety predict pain outcomes after a digital care program (DCP) for chronic musculoskeletal pain (CMP).

Methods: This ad hoc analysis of a decentralized interventional investigation included patients with CMP who underwent a DCP integrating exercise, education, and behavioral change.

The topological properties of the protein universe.

Deep learning methods have revolutionised our ability to predict protein structures, allowing us a glimpse into the entire protein universe. As a result, our understanding of how protein structure drives function is now lagging behind our ability to determine and predict protein structure. Here, we describe how topology, the branch of mathematics concerned with qualitative properties of spatial structures, provides a lens through which we can identify fundamental organising features across the known protein universe.

Integrating tRNA gene epigenomics and expression with codon usage unravels an intricate connection with translatome dynamics in .

Unlabelled: Codon usage bias impacts protein expression across all kingdoms of life, including trypanosomatids. These protozoa, such as the , primarily regulate their protein-coding genes through posttranscriptional mechanisms. Here, we integrated codon usage analyses with translatome data to investigate whether codon bias affects translated transcript expression levels in life forms.

Uncovering digital overdiagnosis - Quantification and mitigation using clinical trajectories: Heparin-induced thrombocytopenia use case.

Objective: Overdiagnosis occurs when abnormalities meeting diagnostic criteria would remain asymptomatic if undiagnosed. Cases initially identified through digital diagnostic tools but later recognised as overdiagnosis are referred to as 'digital overdiagnosis'. Data-driven frameworks to quantify and mitigate overdiagnosis remain limited.