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

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

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

To further examine the relationship between pain trajectory classes and postoperative QoR-15 and satisfaction scores, we will construct a multiple linear regression model ... The anonymised dataset ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Objectives The central nervous system is a significant extraglandular target in primary Sjögren’s syndrome (pSS), often ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Background Smoking is a significant risk factor for neurological disorders, yet its global impact on these conditions remains underexplored. Methods Using Global Burden of Diseases 2021 data, we ...

The analysis of neural morphology across Heliconiini butterfly species revealed brain area-specific changes associated with new foraging behaviours. While the volume of the centre for learning and ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

A new research paper was published  in Volume 17, Issue 8 of Aging-US on August 8, 2025, titled “AI-driven toolset for IPF ...