A machine learning algorithm may be able to inform clinicians how food intake influences chronic disease risk.
A team from the Harvard T.H. School of Public Health, together with researchers from...
Heart failure and hypertensive heart disease deaths are increasing among black men and women despite advances in heart disease management, highlighting persistent racial disparities that should be...
Researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) have developed deep learning tools that can detect age-related macular degeneration (AMD), a leading cause of blindness in the...
Using artificial intelligence technologies, radiologists could augment their ability to objectively evaluate and treat lung disease, according to a study published in the American Journal of...
A team from Baylor College of Medicine’s Human Genome Sequencing Center is working to advance precision medicine by determining patients’ genetic risk factors for cardiovascular...
Individuals living in areas of greater deprivation and rurality had lower rates of recommended cancer screening, reflecting the significant impact the social determinants of health have on care access,...
Scientists at St. Jude’s Children’s Research Hospital used a novel whole genome sequencing method to identify a gene associated with chemotherapy resistance in children with leukemia.
The...
Using 17 years of publicly available data, researchers built an artificial intelligence model that can help identify regions of the US where Lyme disease cases may go unreported, a study published in...
Massachusetts General Hospital (MGH) is launching a new Preventive Genomics Clinic that will help advance precision medicine and preventive care by leveraging genetic information.
The new clinic will...
A machine learning algorithm can mine EHR data and discover novel associations between common chronic diseases and lesser-known conditions, which could support earlier monitoring or medical...
Using artificial intelligence, EKGs may soon be able to screen for hypertrophic cardiomyopathy, an underdiagnosed condition that interferes with the heart’s ability to function properly.
With...
Cardiovascular factors typically evaluated in an annual physical, including blood pressure, cholesterol levels, diabetes, and smoking status, are just as accurate in predicting who will develop...
High levels of soluble urokinase plasminogen activator receptor (suPAR), a protein produced by immune cells in the bone marrow, could inform risk prediction and prevention of acute kidney injury (AKI),...
New research from UT Southwestern has shown that deep learning technology could help providers quickly develop optimal treatment plans for cancer patients, decreasing the odds that the disease will...
Advancements in genomics and precision medicine have improved healthcare’s understanding of human disease, but stakeholders will need to address disparities and increase data sharing in order to...
A team from the Massachusetts Institute of Technology (MIT) has developed a method that determines the accuracy of predictive risk models, helping clinicians to choose better treatments for their...
Primary care has the potential to transform the healthcare industry by improving patient outcomes and reducing overall spend on healthcare services. Study after study shows that value-based care, population health management, chronic...
Addressing the social determinants of health (SDOH) in a community can seem like an insurmountable task, but Humana’s best practices show that a changing health system is ready to tackle these problems.
The SDOH are factors outside...
Family physicians recognize the important role that the social determinants of health play in managing population, but lack the time, tools, and resources to have meaningful conversations with their...
