6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Explore the impact of AI in drug discovery as 2026 promises critical clinical results and industry transformations.

In response to the rapidly expanding global market for hair restoration services and the critical need for clinical standardization, Dr. Yetkin Bayer, a distinguished name in the field of hair ...

As an innovative subtype of invasive brain-computer interfaces (BCIs), the Endovascular Brain-Computer Interface (EBCI) enables electrode delivery to target brain regions via endovascular intervention ...

BackgroundAlzheimer's disease (AD) is the most common neurodegenerative disorder, characterized by progressive cognitive decline and memory impairment ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...