The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...

The genomic drivers of coronary artery disease (CAD) are associated with the presentation of acute coronary syndromes and the severity and burden of angiographic CAD; these drivers also predict the ...

More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor beforehand—yet many have no idea until it’s too late. That’s part of the reason why heart ...

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

Existing loss of well control event indicators fall short of predicting events in an accurate and timely manner due to a lack ...

New polygenic risk scores for obesity, type 2 diabetes, and related complications developed by researchers at Mass General Brigham have effectively identified at-risk individuals. Increasing ...