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

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

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 ...

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 ...

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

Objective To understand how health insurance coverage and employment changed among working age adults with low incomes in Georgia, the first state to implement Medicaid expansion with work ...

For millennia, aging has been viewed as an immutable, inevitable decline. However, a scientific revolution is underway, ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

This study addresses an important question and shows how social navigation in homing pigeons can be explained by simple averaging, without requiring any complex cognitive abilities. The evidence, ...

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

Survivors of high-risk neuroblastoma treated with modern therapies demonstrated a substantial burden of late effects, ...