With the help of artificial intelligence (AI), an inexpensive test found in many doctors’ offices may soon be used to screen for hidden heart disease.

Structural heart disease, including valve disease, congenital heart disease, and other issues that impair heart function, affects millions of people worldwide. Yet in the absence of a routine, affordable screening test, many structural heart problems go undetected until significant function has been lost.

“We have colonoscopies, we have mammograms, but we have no equivalents for most forms of heart disease,” says Pierre Elias, assistant professor of medicine and biomedical informatics at Columbia University Vagelos College of Physicians and Surgeons and medical director for artificial intelligence at NewYork-Presbyterian.

Elias...

For the first time, international researchers have pinpointed the moment when planets began to form around a star beyond the sun. Using the ALMA telescope, in which the European Southern Observatory (ESO) is a partner, and the James Webb Space Telescope, they have observed the creation of the first specks of planet-forming material—hot minerals just beginning to solidify. This finding marks the first time a planetary system has been identified at such an early stage in its formation and opens a window to the past of our own solar system.

“For the first time, we have identified the earliest moment when planet formation is initiated around a star other than our sun,” says Melissa McClure, a professor at Leiden University in the Netherlands and lead author of the new study, publishe...

Long-term musical training may mitigate the age-related decline in speech perception by enhancing cognitive reserve, according to a study published in PLOS Biology by Claude Alain from the Baycrest Academy for Research and Education, Canada, and Yi Du from the Chinese Academy of Sciences.

Normal aging is typically associated with declines in sensory and cognitive functions...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.

In a recent paper presented at this year’s Conference on Computer Vision and Pattern Recognition (CVPR 2025), held in Nashville, June 11–15, researchers at NVIDIA introduced DiffusionRenderer, a new machine learning approach that could advance the generation and editing of imag...