News

AI-assisted mammogram reading helps radiologists focus on suspicious areas, increasing lesion detection without lengthening reading time.

Researchers at Chiba University found that genetic diversity among fruit flies enhances group fear responses, improving survival. Using a novel GHAS method, they identified genes like Ptp99A linked to visual motion processing.

Researchers in Japan created a precise method to simulate blood flow in brain aneurysms using partial MRI data. By focusing only on the aneurysm region, they reduced computational demands while increasing accuracy.

UCLA Health researchers identified four distinct diagnostic pathways leading to Alzheimer’s by analyzing data from 25,000 patients. These include mental health, encephalopathy, mild cognitive impairment and vascular disease routes.

A new, fully autonomous robotic system aims to speed up the discovery of new semiconductor materials by improving the speed at which researchers can measure important material properties.

A new neural network system is helping scientists to identify meaningful patterns between gut bacteria, their metabolites and human health.

MIT researchers found that early low-quality visual input may influence how the brain develops its two key visual pathways: magnocellular and parvocellular. They showed that early blurry and grayscale vision fosters neural specializations.

Researchers have now discovered a new way that embryonic cells coordinate their behavior. This involves molecular mechanisms previously known only from the process of hearing.

The research, led by Johns Hopkins University and funded by the federal government, focuses on hypertrophic cardiomyopathy, a genetic heart condition that can lead to sudden cardiac death, particularly in young individuals and athletes.

A research team has successfully used artificial intelligence to discover a new material that can remove iodine for nuclear environmental remediation.