Researchers from the Buck Institute and Stanford University have created an inflammatory clock for aging (iAge) that uses deep learning and predictive analytics to determine immunological health and...
In a recent study, researchers used population health strategies to examine changes in human papillomavirus (HPV)-based cervical screening modalities as HPV vaccination becomes more widespread,...
In a new study from Indiana University School of Medicine, a team of researchers and scientists have used genomics to discover alternative ways to treat kidney infections, increasing chronic kidney...
Minimally invasive liquid biopsies can reveal proteomic cancer biomarkers associated with metastatic disease earlier and safer than direct tumor biopsies, showing potential for precision medicine...
A new computer-aided polyp detection (CADe) tool powered by artificial intelligence will be used for colonoscopy procedures at Ohio State University, enabling early detection of colorectal cancer,...
A study presented at the American College of Cardiology’s 70th Annual Scientific Session revealed that social determinants of health may contribute to racial disparities in heart...
Obesity, hypertension, diabetes, and heart failure are the chronic diseases that contribute to a majority of adult COVID-19 hospitalizations across the country, a study published in the Journal of the...
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...
Genetic markers related to mineral bone accrual could help providers identify younger patients at risk of fractures in later life, according to a study published in Genome Biology.
Osteoporosis is a...
Real-time data analytics and partnerships between researchers and healthcare providers will help boost heart health, according to a report published in Circulation by the American Heart Association...
Machine learning tools can analyze certain types of retinal images to identify Alzheimer’s disease in symptomatic individuals, according to a study published in the British Journal of...
Using a predictive analytics tool, researchers from the University of California, Irvine (UCI) were able to discover previously undetected genes that drive cancer progression, according to a study...
UC San Francisco (UCSF) is using a $1 million grant to build a first-of-its-kind diagnostic center that will aim to use precision medicine methods to find targeted therapies for type 1 diabetes.
The...
A new tool designed to collect eye fluid samples could help providers develop specific treatment plans for patients, facilitating precision medicine for eye diseases.
Researchers from the University...
An artificial intelligence algorithm can detect subtle signs of osteoarthritis in MRI scans, years before symptoms of the condition even begin.
Researchers at University of Pittsburgh School of...
When it comes to healthcare, it seems Americans spend more to receive less.
An aging population, expensive pharmaceuticals, and administrative waste result in sky-high medical costs, while health outcomes remain poorer than those in other...
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...
A team from the Icahn School of Medicine at Mount Sinai, Emory University, and other collaborating institutions used predictive analytics models to discover a protein known as VGF, which protects the...
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...
In healthcare, providers and lawmakers are faced with the task of making the best possible decisions for patients and the industry as a whole. From choosing the best treatments, to determining the most...
