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

A new study published in Scientific Reports provides detailed insight into how cannabinoids degrade over time when stored in ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Generalised linear mixed ... In this regression analysis, latent classes will be treated as independent variables, while QoR-15 and satisfaction scores will serve as dependent variables. If trajectory ...

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

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 ...

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

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Introduction Patients with arthralgia at-risk for rheumatoid arthritis (RA) experience considerable functional disability, though generally less than at RA diagnosis. Secondary prevention trials have ...

Aim To identify subgroups of early rheumatoid arthritis (RA) based on comorbidities and RA manifestations and to investigate ...