By studying diverse populations, researchers found genetic variants associated with blood lipid levels and created a polygenic risk score to predict elevated low-density lipoprotein cholesterol...
To identify patients at high risk of aortic aneurysm, Massachusetts General Hospital (MGH) researchers used deep learning to analyze how genetics could impact aorta size. According to researchers, the...
According to data analytics from a recent study, instances of myocarditis due to the COVID-19 vaccine are usually mild and subside quickly.
Myocarditis has been noted as a rare side effect of the...
According to Mayo Clinic researchers, a novel artificial intelligence algorithm can predict long-term patient survival after cardiac surgery.
The research team found an algorithm that previously...
University of Utah engineers are developing a diagnostic tool for breast cancer that can be used more frequently and in younger patients. According to the engineers, the tool could significantly...
Through data analysis, University of Houston researchers created a real-time COVID-19 infection risk assessment and mitigation (RT-CIRAM) system.
With the high transmission rates of COVID-19,...
To improve population health efforts, the Icahn Scholl of Medicine at Mount Sinai will serve as the lead site of enrollment for two cohort studies examining the long-term effects of COVID-19. The...
In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...
As artificial intelligence (AI) continues to grow in the healthcare field, researchers are findings new ways to utilize its capabilities. In chronic disease management and prevention, especially in cancer research, AI has been critical in...
According to Michigan Medicine researchers, physicians may be missing early warning signs of kidney disease when examining cerebral palsy patients, failing to promote chronic disease...
Massachusetts General Hospital, the Broad Institute of MIT, and Harvard researchers created an artificial intelligence-based approach to identifying patients at risk of developing atrial fibrillation,...
A new prediction model created by Mount Sinai researchers can score risks and determine potential contrast-associated acute kidney injury (CA-AKI) among patients undergoing percutaneous coronary...
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...
Through collecting data for the Mass General Brigham Biobank, researchers found that three-quarters of biobank participants carrying genetic risks for cancer and heart disease had never been...
Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior.
After decades of...
A recent KLAS Research report used analytics to evaluate which vendors deliver the best risk adjustment.
According to the report, there is a growing interest in adopting risk adjustment solutions....
Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...
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...
While many risk factors patients face concerning their health are due to genetics, researchers suggest that social determinants of health could also play a role in risk prediction.
In a recent study,...
