Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...

Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Objectives Bisphenol A (BPA), a xenoestrogen that can alter DNA methylation status, has been implicated in the pathogenesis ...

Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...

Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Objective Breastfeeding prevalence and challenges among women of systemic lupus erythematosus (SLE) and rheumatoid arthritis ...

Aim In the UK, pharmacological management of patients with heart failure (HF) occurs predominantly in general practice. Using ...

Study finds many ailing seniors can bounce back to full well-being. Mental health proved the strongest factor.

Solid-waste pollution is reshaping the social and economic landscape of urban shorelines, yet its livelihood costs remain ...