Evaluating the Cost-Effectiveness of Antenatal Screening for Major Structural Anomalies During the First Trimester of Pregnancy: A Decision Model.

Objective: To assess the cost-effectiveness of modifying current antenatal screening by adding first trimester structural anomaly screening to standard of care second trimester anomaly screening.

Design: Health economic decision model.

Setting: National Health Service (NHS) in England and Wales.

Cannabis vaping elicits transcriptomic and metabolomic changes in inflammatory, oxidative stress and cancer pathways in human bronchial epithelial cells.

The increasing shift from cannabis smoking to cannabis vaping is largely driven by the perception that vaping to form an aerosol represents a safer alternative to smoking and is a form of consumption appealing to youth. Herein, we compared the chemical composition and receptor-mediated activity of cannabis smoke extract (CaSE) to cannabis vaping extract (CaVE) along with the biological response in human bronchial epithelial cells. Chemical analysis using HPLC and GC/MS revealed that cannabis vaping aerosol contained fewer toxicants than smoke; CaSE and CaVE contained teratogens, carcinogens, and respiratory toxicants.

Assessing the Risk of Sexually Transmitted Infections among Men who have Sex with Men in San Francisco during COVID-19: A Socio-ecological Analysis.

Background: Men who have sex with men (MSM) are disproportionately affected by sexually transmitted infections, a disparity that has only worsened in recent years. During the COVID-19 pandemic, an overall increasing trend remained.

Methods: We utilized data from the MSM cycle of the National HIV Behavioral Surveillance (NHBS) study in San Francisco, California, conducted from June 2021 through December 2021, to identify socio-ecological disruptions during the COVID-19 pandemic that were associated with sexually transmitted infections.

Animal as the Solution II: Phenotyping for Low Milk Urea Nitrogen A1PF Dairy Cows.

The societal pressure on intensive pastoral dairying demands the search for strategies to reduce the amount of N flowing through and excreted by dairy cows. One of the strategies that is being currently explored focuses on the animal as a solution, as there are differences in N metabolism between cows even within the same herd. This work was conducted to explore such an approach in A1PF herds in New Zealand and the possibility of identifying A1PF cows that are divergent for milk urea nitrogen (MUN) concentration through phenotyping as a potential viable strategy to reduce N leaching and emissions from temperate dairy systems.

Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data.

Predicting whether a patient with cancer will benefit from immune checkpoint inhibitors (ICIs) without resorting to advanced genomic or immunologic assays is an important clinical need. To address this, we developed and evaluated SCORPIO, a machine learning system that utilizes routine blood tests (complete blood count and comprehensive metabolic profile) alongside clinical characteristics from 9,745 ICI-treated patients across 21 cancer types. SCORPIO was trained on data from 1,628 patients across 17 cancer types from Memorial Sloan Kettering Cancer Center.