The international community is failing to protect healthcare in armed conflict.

Regular attacks on health facilities, workers, and patients in conflicts are a devastating reality

Successful Invasion Into New Environments Without Evidence of Rapid Adaptation by a Predatory Marine Gastropod.

Invasive species with native ranges spanning strong environmental gradients are well suited for examining the roles of selection and population history in rapid adaptation to new habitats, providing insight into potential evolutionary responses to climate change. The Atlantic oyster drill (Urosalpinx cinerea) is a marine snail whose native range spans the strongest coastal latitudinal temperature gradient in the world, with invasive populations established on the US Pacific coast. Here, we leverage this system using genome-wide SNPs and environmental data to examine invasion history and identify genotype-environment associations indicative of local adaptation across the native range, and then assess evidence for allelic frequency shifts that would signal rapid adaptation within invasive populations.

Forecasting Patient Early Readmission from Irish Hospital Discharge Records Using Conventional Machine Learning Models.

Background/objectives: Predicting patient readmission is an important task for healthcare risk management, as it can help prevent adverse events, reduce costs, and improve patient outcomes. In this paper, we compare various conventional machine learning models and deep learning models on a multimodal dataset of electronic discharge records from an Irish acute hospital.

Methods: We evaluate the effectiveness of several widely used machine learning models that leverage patient demographics, historical hospitalization records, and clinical diagnosis codes to forecast future clinical risks.

The accuracy of estimating equations for the evaluation of kidney function in adult survivors of unilateral, nonmetastatic, non-syndromic Wilms tumor: A pilot study from the St. Jude Lifetime Cohort Study.

Background: Adult survivors of unilateral, nonmetastatic, non-syndromic Wilms tumor (WT) treated with whole abdomen radiation therapy (WART) are at risk for impaired kidney function. The impact of bias and accuracy on estimated glomerular filtration rate (eGFR) among adult survivors of WT has not been well documented.

Procedure: We clinically evaluated male and female WT survivors with creatinine and cystatin C, calculated eGFR using the Chronic Kidney Disease-Epidemiology equations with and without cystatin C, and measured Tc diethylenetriamine pentaacetic acid (DTPA) plasma clearance.