Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...
High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...
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 ...
we will construct a multiple linear regression model, adjusting for potential confounders such as age, sex, ASA grade, surgery duration and preoperative health status. In this regression analysis, ...
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 ...
Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Vikki Velasquez is a researcher and writer who has managed, coordinated, and ...
Objectives Night work disrupts sleep, which may increase inflammatory processes, pain sensitivity and pain perception. We ...
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