According to research from West Virginia University, COVID-19 patients living in rural areas who end up in an intensive care unit face a greater risk of dying, impacting population health.
While the...
According to a recent study examining data analytics, minority populations have been disproportionately impacted with higher rates of COVID-19 infection throughout the pandemic, highlighting health...
Using data analytics, Pennington Biomedical Research Center, Louisiana State University (LSU), and Tulane Health Science Center researchers will investigate prevention and treatment methods for...
Using predictive analytics, the University of Colorado School of Medicine and UCHealth University of Colorado Hospital scientists have found specific genetic biomarkers that show who is infected with...
Georgia Institute of Technology and Emory University researchers created a new artificial intelligence-based tool to assist clinicians in predicting which symptoms COVID-19 patients will experience...
By conducting data analytics on one of the world’s largest integrated health record databases, the Clalit Research Institute and Harvard University researchers examined the effectiveness of the...
University of Chicago researchers used flu data and similarities to create a predictive model showing how COVID-19 spreads.
While COVID-19 is more transmissible and deadlier than most influenzas...
As artificial intelligence capabilities in healthcare continue to advance, regulations and policies need to be put in place to ensure health equality when exploring this new method.
This past June,...
By examining the relationship between cytokines in saliva and COVID-19 infection, an ongoing study is researching how to use predictive analytics to determine the severity of infection.
In a...
According to a study by the National Cancer Institute (NCI) and the National Institute of Health (NIH), COVID-19 has disproportionately impacted Black, American Indian/Alaska Native, and Latinx...
As the COVID-19 pandemic continues to spread worldwide, hospitals are searching for ways to keep their patients safe from potential hospital-acquired infections. Different methods have included hygiene...
Those managing chronic illnesses such as cancer have been heavily impacted during the COVID-19 pandemic due to their risk factors. While the vaccine supplies some relief, according to University of...
According to UT Southwestern Medical Center researchers, unvaccinated pregnant women are increasingly hospitalized due to COVID-19, impacting population health.
The study, which analyzed more than...
Using predictive analytics, a set of seven symptoms together can be used to maximize the detection of COVID-19 in a community. The paper was published in PLOS Medicine by Elliott of Imperial College...
Yale University researchers suggest that a standard measurement that uses predictive analytics to determine which COVID-19 patients have the best chances of survival could promote health disparities...
The National Institutes of Health (NIH) awarded nearly $470 million to create a large national study population to support research on the long-term effects of COVID-19 and gain insight into population...
At Monroe Carell Jr. Children’s Hospital at Vanderbilt University Medical Center, a group of physicians has identified older age, chronic conditions, and comorbidities as risk factors for severe...
By pairing microscopy and artificial intelligence, Beckman Institute for Advanced Science and Technology researchers created a COVID-19 test that is fast, accurate, and cost-effective.
As the pandemic...
As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research.
These social factors, which impact...
Case Western Reserve University researchers have developed an artificial intelligence tool that can predict if a COVID-19 patient will need help breathing with a ventilator.
The tool was created by...
