A gene variant found in approximately one in 300 people is a significant genetic risk factor for stroke in older adults, according to a study conducted by researchers at Geisinger.
Cerebral small...
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...
Researchers from Johns Hopkins Bloomberg School of Public Health used big data analytics to develop a COVID-19 mortality risk calculator, a tool that could inform public health policies around...
Researchers at The Ohio State University Wexner Medical Center are creating a precision medicine method to determine patients’ genetic risk of developing glaucoma, with the goal of reducing...
Predictive analytics tools could help providers identify infants at risk of developing neonatal abstinence syndrome (NAS) after being exposed to opioids during pregnancy, potentially reducing hospital...
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...
To learn more about how socioeconomic factors impact heart health, researchers are increasingly leveraging big data analytics technologies and examining social determinants data at the individual and...
Using predictive analytics technology, clinical decision support tools can help organizations assess resource utilization for elective surgeries during the COVID-19 pandemic, revealed a study published...
Broad-based genetic testing could identify inherited genetic mutations and accelerate precision medicine therapies for patients with cancer, according to a study published in JAMA Oncology.
Hereditary...
Parkland Center for Clinical Innovation (PCCI) and Parkland Health and Hospital System have developed a risk index that generates a COVID-19 risk score for each patient using machine learning and big...
A machine learning approach can analyze placenta slides and inform more women of their health risks in future pregnancies, leading to lower healthcare costs and better outcomes, according to a study...
A predictive analytics tool can accurately forecast patients’ risk of ischemic stroke based on the severity of their metabolic syndrome, a collection of conditions that includes high blood...
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,...
NIH has announced that it will provide $75 million in funding over five years for the Electronic Medical Records and Genomics (eMERGE) Genomic Risk Assessment and Management Network, which aims to...
Researchers from Binghamton University, State University of New York have developed several predictive analytics models to examine COVID-19 trends and patterns around the world.
For more coronavirus...
A team from Florida Atlantic University’s (FAU) College of Engineering and Computer Science is leveraging machine learning technology to build a COVID-19 knowledge base and risk assessment...
Cleveland Clinic researchers have developed a predictive analytics model to determine an individual patient’s likelihood of testing positive for COVID-19, as well as their potential outcomes from...
Using genetic risk scores could help identify patients at high risk of heart attack who are not presently identified using traditional clinical methods, according to a study published in the Journal of...
The rapid spread of COVID-19 has threatened to overwhelm hospitals and health systems across the country, leading many providers to defer surgeries and other procedures for an unknown period of...
