Cedars Sinai scientists have found the origins of a common ovarian cancer by modeling fallopian tube tissue, allowing physicians to determine how genetic mutations increase an individual’s...
During the COVID-19 pandemic, organizations witnessed the consequences of fee-for-service as providers and patients struggled with communication and revenue.
While value-based care...
According to a study by Massachusetts General Hospital (MGH) researchers, a predictive model can detect early-stage lung cancer from alterations in blood metabolites.
Lung cancer is the leading cause...
A novel artificial intelligence score allows for accurate forecasting of death within ten years for patients with suspected or known coronary artery disease.
Unlike traditional methods based on...
Michigan Technology University researchers developed a machine learning model that uses probability to classify breast cancer more accurately in histopathology images and evaluate the uncertainty of...
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...
Organizations are constantly looking for ways to enhance treatment and patient experience. By incorporating National Comprehensive Cancer Network (NCCN) guidelines and precision medicine, CVS Health is working to improve cancer patient...
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...
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...
After creating an artificial intelligence tool using retrospective data, Dartmouth-Hitchcock Medical Center and Cheshire Medical Center are implementing the technology in a clinical trial.
The tool...
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...
University of Pittsburg School of Medicine and Carnegie Mellon University researchers are using machine learning and whole-genome sequencing to improve the detection of infectious 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,...
Using data from the National Institute of Mental Health, UT Southwestern Medical Center researchers created a predictive model to determine how a patient will respond to antidepressants.
According to...
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...
University of Colorado Cancer Center researchers are gathering data insights to create a decision-making tool for women who receive a breast cancer diagnosis.
In 2019, assistant professor...
