Rapid metabolic fingerprinting meets machine learning models to identify authenticity and detect adulteration of essential oils with vegetable oils: Mentha and Ocimum study.

Essential oils (EOs) are gaining popularity due to their potent antibacterial properties, as well as their applications in food preservation and flavor enhancement, offering growth opportunities for the food industry. However, their widespread use as food preservatives is limited by authenticity challenges, primarily stemming from adulteration with cheaper oils. This study investigated a rapid, cost-effective, and non-destructive method for assessing the authenticity of widely used Mentha and Ocimum EOs.

Human Riboviruses: A Comprehensive Study.

The urgency to understand the complex interactions between viruses, their animal reservoirs, and human populations has been necessitated by the continuous spread of zoonotic viral diseases as evidenced in epidemics and pandemics throughout human history. Riboviruses are involved in some of the most prevalent human diseases, responsible for causing epidemics and pandemics. These viruses have an animal origin and have been known to cross the inter-species barrier time and time again, eventually infecting human beings.

Project ECHO Diabetes Trial Improves Outcomes for Medically Underserved People.

Objective: The Project Extension for Community Healthcare Outcomes (ECHO) model is used in 180 countries to address chronic disease care through a provider empowerment, tele-education approach. Few studies have rigorously evaluated the impact of the program on patient outcomes using randomized designs.

Research Design And Methods: Implementation of an ECHO Diabetes program was evaluated using a stepped-wedge design with recruitment of 20 federally qualified health centers (FQHCs) across California and Florida with randomized, phased-in intervention entry.

Toward Automation: The Road Traveled and Road Ahead for Integrating Automated Insulin Delivery into Inpatient Care.

The introduction of automated insulin delivery (AID) systems represents a significant advancement in diabetes care, offering substantial benefits in outpatient settings. Although clinical studies suggest that these systems can also help improve glycemic control in acutely ill patients, several barriers remain for the actual implementation and use of these technologies in clinical practice. Three main contexts for inpatient use are addressed, including: (a) continuation of personal AID systems, (b) initiation of AID during hospitalization, and (c) initiation of AID systems at discharge.