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 ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

The human heart must constantly adapt to changing demands—a task that requires tightly coordinated molecular shuffling in ...

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 ...

The aryl hydrocarbon receptor (AhR) functions as a pivotal integrator of environmental and metabolic signals, playing a complex and highly context-dependent dual role in liver homeostasis and injury.

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 ...