A DNA methylation signature identified in the buccal mucosa reflecting active tuberculosis is changing during tuberculosis treatment.

Tuberculosis (TB) poses a significant global health threat, with high mortality rates if left untreated. Current sputum-based TB treatment monitoring methods face numerous challenges, particularly in relation to sample collection and analysis. This pilot study explores the potential of TB status assessment using DNA methylation (DNAm) signatures, which are gaining recognition as diagnostic and predictive tools for various diseases.

Disparities in Food Insecurity and Academic Achievement Among California Public University Students: An Intersectional Approach.

: Historically racialized status (HRS) and low socioeconomic position (SEP) are independent risk factors for food insecurity and poor academic achievement among college students. Despite increased enrollment of students from historically racialized groups and low SEP, little is known regarding the intersectional experience of these contemporary student characteristics with food security status or academic achievement. The purpose of this study was to examine the intersections of racialized status and SEP with food insecurity and academic achievement among undergraduate students attending a public university system in California.

Childhood Community Disadvantage and MRI-Derived Structural Brain Integrity After Age 65 Years.

Importance: Prior studies associate late-life community disadvantage with worse brain health. It is relatively unknown if childhood community disadvantage associates with late-life brain health.

Objective: To test associations between childhood residence in an economically disadvantaged community, individual income and education, and late-life cortical brain volumes and white matter integrity.

Tools, Technologies and Frameworks for Digital Twins in the Oil and Gas Industry: An In-Depth Analysis.

The digital twin (DT), which involves creating a virtual replica of a physical asset or system, has emerged as a transformative set of tools across various industries. In the oil and gas (O&G) industry, the development of DTs represents a significant evolution in how companies manage complex operations, enhance safety, and optimize decision-making processes. Despite these significant advancements, the underlying tools, technologies, and frameworks for developing DTs in O&G applications remain non-standardized and unfamiliar to many O&G practitioners, highlighting the need for a systematic literature review (SLR) on the topic.