The National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) Task Force released a report outlining a new race-free approach to diagnosing chronic kidney disease.
In the joint...
A study led by New York University (NYU) researchers created an artificial intelligence tool to improve the accuracy of breast cancer imaging. The computer program was trained to identify patterns...
Cleveland Clinic researchers collaborated with Owkin to develop and validate a deep learning model to predict survival and outcomes for hepatocellular carcinoma (HCC) patients after liver...
Despite revised guidelines for lung cancer screening eligibility, health disparities among racial and ethnic minorities are persisting, according to the Radiological Society of North America.
In 2014,...
Stress due to social determinants of health can increase an individual’s risk of heart disease, according to the American Heart Association.
Studies have indicated that cumulative exposure to...
In a cohort study, researchers compared how an interpretable machine learning triage tool for predicting mortality operates in a cohort of patients admitted to the hospital from the emergency...
To effectively document the severity of patient conditions and use risk stratification, the Community Health Network (CHN) in Indiana has streamlined hierarchical condition category (HCC) coding to...
According to an analysis of Mayo Clinic data by artificial intelligence company nference, anemia-related laboratory tests should be considered in risk stratification algorithms for COVID-19...
Researchers using precision medicine discovered signs of rapid decline in kidney function from patients with type 1 diabetes. Diabetes is the leading cause of kidney failure in the United States....
Using a predictive analytics model, providers could proactively identify pediatric patients at risk of developing blood clots or venous thromboembolisms (VTEs), according to a study published in...
A big data framework combining epidemiological and socioeconomic risk factors revealed that COVID-19 risk increased in areas with more crowding, population mobility, and morbidity, while risk decreased...
In healthcare, predictive analytics tools have always been one of the most promising applications of big data. The ability to anticipate negative consequences before they occur is a major asset for any...
Genetic data can help improve prostate cancer risk prediction in diverse racial and ethnic groups, leading to more targeted, personalized screenings, according to a study published in Nature...
The use of both genetic data and medical imaging could increase the accuracy of prostate cancer risk prediction, leading to more informed decision-making and proactive care, according to a study...
Analyzing genomic data from diverse populations could improve prostate cancer risk scores and enable early detection of the disease, a study published in Nature Genetics revealed.
Prostate cancer is...
Using genetic data from diverse populations could help researchers develop better risk prediction scores for inflammatory bowel diseases, such as Crohn’s disease and ulcerative colitis, according...
A simple machine learning approach predicted cirrhosis mortality risk as accurately as less interpretable algorithms, and also outperformed traditional risk methods, a study published in JAMA Network...
Cleveland Clinic researchers have built a predictive analytics model to better understand which patients with COVID-19 are at high risk of hospitalization from the virus.
For more coronavirus updates,...
Dementia-associated common gene variants or the APOE e4 genotype can more than double dementia risk, but good cardiovascular health can halve dementia risk, according to a study published in...
Although COVID-19 has spread to communities around the world, as the pandemic wears on it’s clear that the virus has impacted some populations more than others.
For more coronavirus updates,...
