Researchers at the University of Southern California have made a significant breakthrough in understanding how the human brain forms, stores and recalls visual memories. A new study, published in Advanced Science, harnesses human patient brain […]
If something online promises to cure everything, it’s probably too good to be true. One of the most dangerous examples? Chlorine dioxide is often marketed under names like “Miracle Mineral Solution (MMS)” or “aerobic oxygen,” […]
Air pollution is a global health concern, with over 90% of the world’s population breathing air that exceeds World Health Organization safety standards. Fine and coarse particulate matter are especially dangerous, as they can penetrate […]
Gruesome smoking warnings, frightening obesity statistics and shocking drink-driving campaigns all use fear to drive behavior change. But a University of Auckland researcher says it might be time to try a different approach.This post was […]
Congress set aside $50 billion for rural hospitals and medical providers to allay fears over the billions more in historic cuts to federal health care spending that President Donald Trump signed into law on Independence […]
Public health officials on July 22 said mosquito samples collected in Anaheim and Garden Grove have tested positive for West Nile virus, the first confirmed virus activity this year.This post was originally published on this […]
More accurate measures are needed to help diagnose children with sepsis as a current clinical tool is failing to detect those requiring hospital care, according to a new study.This post was originally published on this […]
The U.S. is developing new safeguards for the organ transplant system after a government investigation found a Kentucky group continued preparations for organ donation by some patients who showed signs of life, officials told Congress […]
Recent laws instituted in the United States substantially cut funding to many government programs, especially those related to health or social well‐being.This post was originally published on this site
Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with cirrhosis are at risk of death, according to a paper […]
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