The first collection of important data from the world’s largest study of cardiovascular disease prevention in people with HIV has revealed the significant chronic disease burden of this patient...
A team from the University of Virginia (UVA) has received a five-year, $3.2 million NIH grant to build predictive models that analyze interactions between mucus and bacteria.
The research will focus...
A big data model projected that without any changes in alcohol consumption or interventions to address high-risk drinking, deaths from alcohol-related liver disease will rise significantly in the US,...
Researchers at the HudsonAlpha Institute for Biotechnology, the University of California, San Francisco (UCSF), and the University of Alabama at Birmingham (UAB) have uncovered a new genetic risk...
Researchers at Stanford University have found that a significant fraction of Americans carrying a genetic variant that puts people at high risk for Alzheimer’s disease are protected to some...
A genetic variant responsible for driving the development of inflammatory bowel disease (IBD) is associated with a genetic pathway that is involved in other immune disorders, indicating that this...
High blood levels of RNA produced by the PHGDH gene, which is critical for brain development and function, could serve as a biomarker for early detection of Alzheimer’s disease, a study published...
Mount Sinai researchers have developed new predictive analytics tools and identified environmental risk factors that could lead to a new understanding of what triggers Crohn’s disease.
In a...
An individual’s social determinants of health can provide valuable information about a person’s potential risk of heart disease, but these non-clinical factors are often overlooked,...
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...
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...
A deep learning device could help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP), a condition that is difficult to diagnose and can lead to vision loss if left...
Genetics and community-level social determinants may interact to have a positive or negative impact on individuals’ cognitive health, a team from Florida Atlantic University (FAU) recently...
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),...
Microsoft has launched a five-year, $40 million program called AI for Health, an initiative that will use artificial intelligence tools to address some of healthcare’s biggest challenges,...
Patients with heart failure who have higher levels of neuropeptide Y, a molecule released by the nervous system, are ten times more likely to die within one to three years than patients with lower...
A review of clinical tests from three major US laboratories showed that whole genome sequencing tests routinely fail to adequately analyze more than a quarter of genes, which may prevent providers from...
Intermountain Primary Children’s Hospital, University of Utah Health, and Intermountain Precision Genomics are launching the Primary Children’s Center for Personalized Medicine to deliver...
Researchers at Massachusetts General Hospital (MGH) have discovered that certain genetic variants may help protect against Alzheimer’s disease. Their findings could hold important implications...
Using a polygenic risk score based on data from genome-wide association studies (GWAS) improves psychosis risk prediction in patients meeting clinical high-risk criteria, according to a study published...
