AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, that deployment of AI tools—especially in a life-or-death health care ...

Wearable devices like smartwatches and fitness trackers have revolutionized the way we monitor our health. Worn around the ...

You will be redirected to our submission process. Cardiometabolic disease, driven by hypertension and diabetes, remains a leading cause of cardiovascular morbidity and mortality. Traditional clinical ...

An AI-assisted model based on 71 different blood proteins could help doctors better predict retinal degeneration in diabetic ...

Abstract: Chronic Kidney Disease (CKD) is a serious health condition that progresses silently, often going undiagnosed until it reaches critical stages. Early detection is vital, but traditional ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

Haley Billey bought an Oura Ring to track her fertility. It arrived the day after she learned she was pregnant. She slipped the $450 titanium band on anyway. Months of worrisome readings on measures ...

Scientists are developing a test which could one day be used to predict how a patient’s illness will progress, and even how well they will respond to treatment. The international team, led by ...

Abstract: Heart disease prediction is, therefore, very essential because the identification of symptoms in advance may help in preventing the condition into major health complications. Despite the ...

Philadelphia — University of Pennsylvania researchers are developing a blood test to better predict the risk of kidney disease in Black Americans, a group that is disproportionately affected in part ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

To develop and validate a multimodal machine learning model to predict postoperative worsening of freezing of gait questionnaire (FOGQ) scores in patients with Parkinson’s disease (PD) undergoing ...