The authors looked at how injuries sustained during water, tubing that require treatment at an emergency department, differ between males and females.
Read More...Water tubing injury patterns among different demographics: A NEISS study
The authors looked at how injuries sustained during water, tubing that require treatment at an emergency department, differ between males and females.
Read More...Optimizing an eDNA assay and field deployment to detect decapod species in Oʻahu streams
This study explored the use of environmental DNA (eDNA) methods to detect native Hawaiian decapod species (‘opae), which are difficult to observe manually due to their low density.
Read More...Using broad health-related survey questions to predict the presence of coronary heart disease
Coronary heart disease (CHD) is the leading cause of death in the U.S., responsible for nearly 700,000 deaths in 2021, and is marked by artery clogging that can lead to heart attacks. Traditional prediction methods require expensive clinical tests, but a new study explores using machine learning on demographic, clinical, and behavioral survey data to predict CHD.
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