Alzheimer's disease (AD) is the most prevalent form of dementia worldwide, encompassing a prodromal stage known as mild cognitive impairment (MCI), where patients may either progress to AD or remain stable. The objective of the work was to capture st...
BACKGROUND: Hookworm infection, a neglected tropical disease (NTD) causing iron-deficiency anaemia and malnutrition in low-income populations with poor sanitation, poses a considerable public health challenge in China and worldwide.
The global rise of Artificial Intelligence (AI) in English as a Second Language (ESL) education has shown promise, yet its application in resource-constrained contexts like Pakistan remains underexplored. This study examines the integration of AI too...
Type 2 diabetes mellitus remains a critical global health challenge, with rising incidence rates placing immense pressure on healthcare systems worldwide. This chronic metabolic disorder affects diverse populations, including the elderly and children...
Physical literacy in children has become a significant research topic in both education and psychology. Recently, machine learning, as a cutting-edge AI technology, has started to play a crucial role in these fields. This study aimed to apply machine...
BACKGROUND: Pediatric cholestatic liver diseases can be characterized by rapidly progressive fibrosis. A multicenter cross-sectional analysis of vibration-controlled elastography in biliary atresia (BA), alpha-1 antitrypsin deficiency (A1AT), and Ala...
Fatty acid metabolism is critically involved in glioblastoma (GBM) pathogenesis; however, its regulatory mechanisms remain incompletely understood. In this study, we identified biliverdin reductase A (BLVRA) as a novel metabolic driver and prognostic...
Robot-assisted mirror therapy (MRT) is a cutting-edge rehabilitative treatment that combines mirror therapy and rehabilitation robots and can improve stroke patient participation in rehabilitation training. The aim of this study was to investigate th...
The COVID-19 pandemic highlighted the importance of early detection of illness and the need for health monitoring solutions outside of the hospital setting. We have previously demonstrated a real-time system to identify COVID-19 infection before diag...
With the rapid development of artificial intelligence technology, AI assistants are gradually penetrating daily life and work. However, the internal mechanism of their user acceptance still needs to be further explored. Therefore, this study is based...
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