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

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

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

PROCESS IMPROVEMENT TOOLS AND METHODS AI holds transformative potential across Army operations—from logistics and maintenance ...

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

Namagwa, S. (2025) Enhancing Efficiency of Pension Schemes through Effective Risk Governance: A Kenyan Perspective. Journal ...

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

Generalised linear mixed models and least absolute shrinkage and selection operator regression will be used to identify risk ... All statistical analyses will be conducted using R software (V.4.2.1).

A big new study suggests that certain genetic traits—like insomnia risk and neuroticism—may make depression harder to treat, ...

Background: Whether virtual health care has changed access to services for patients living far from a specialist physician is ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...