By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from a clinical trial led by Weill Cornell Medicine and NewYork-Presbyterian investigators. The preliminary study suggested that young people with weaker connections between two brain areas involved in both attending to and regulating responses to anxiety were more likely to benefit from a self-guided anxiety care app than those with stronger connections.

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional manual segmentation remains time-consuming and operator-dependent, whereas current computer-aided tools fall short in achieving the accuracy required for clinical applications.

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients.

Healing with Artificial Intelligence, written by technology expert Daniele Caligiore, uses the latest science research to highlight key innovations assisted by AI such as diagnostic imaging and surgical robots.

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass of proteins called microproteins. Microproteins have been lost in the 99% of DNA disregarded as "noncoding" - hiding in vast, dark stretches of unexplored genetic code. But despite being small and elusive, their impact may be just as big as larger proteins.

Walking is well known to have significant health benefits, but few people achieve the daily recommended steps. Fortunately, mobile health (mHealth) applications have emerged as promising tools to promote physical activity. These apps track user activities on mobile devices to deliver health and wellness services. However, the effectiveness of these apps in increasing daily walking behavior remains underexplored, partly due to variations in their incentive structures.

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

Interval breast cancers - symptomatic cancers diagnosed within a period between regular screening mammography exams - tend to have poorer outcomes due to their more aggressive biology and rapid growth.

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs.

Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an AI principal investigator and seasoned scientists.