Would you adjust your electricity consumption if you received a notification on your mobile phone telling you when electricity was going to be most expensive the following day? Research shows that good information can influence […]
Texas this year has been the center of the nation’s largest measles outbreak in more than two decades, as a mostly eradicated disease has sickened more than 700 in the state, sent dozens to hospitals […]
Pharmacogenomics studies how individuals respond to drugs based on their genetic code. Using that knowledge to guide prescribing in routine care could lead to better outcomes for patients and save money for health systems.This post […]
While aging is inevitable, aging well is something we can influence. It’s not just about the number of candles on your birthday cake—it’s whether you’ve got the puff to blow them out, the balance to […]
Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling approach has been developed to enable faster and more accurate integration of spatially misaligned datasets, including air […]
Many female athletes and physically active women fail to consume enough energy to meet their bodies’ needs, jeopardizing their reproductive and bone health and athletic performance, according to prior studies by researchers at Penn State […]
For years, we’ve been told that sugar is a major culprit behind the global rise in type 2 diabetes. Now, emerging evidence from BYU researchers adds nuance to that message, suggesting that not all sugar […]
Public health experts are urging the new Albanese Government to prioritize tackling obesity, with new research showing widespread public support for the implementation of strong measures to curb the consumption of sugary and sweetened beverages.This […]
A group of Children’s Hospital Los Angeles researchers found that ventilation managed by a computerized decision support (CDS) tool shortened the time children with lung failure spent on ventilation and helped them regain the ability […]
The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting in-hospital mortality for adult patients with alcoholic cirrhosis complicated by severe acute kidney injury (AKI), according to a study published online […]
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