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

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 ...

Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...

Head and neck cancer (HNC) is one of the most common malignancies worldwide, with high morbidity and mortality rates.

In the evolving landscape of hormone support and performance optimization, sourcing quality compounds within regulated ...

Ahdianto Ah and Aditya Nugroho of GNV Consulting summarise an extension of the government-borne incentive, new risk-based ...

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 ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Objectives To provide a nationwide epidemiological assessment of upper limb amputations (ULAs) in Germany, including incidence trends, underlying aetiologies, amputation levels and revision patterns, ...

Nuclear medicine is a rapidly evolving domain at the intersection of advanced radiopharmaceuticals, hybrid imaging modalities such as PET/CT and PET/MR, and ...

Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) in children aged 12 years or under. Methods This population-based study ...