Neurological conditions are the leading cause of disability and mortality combined,
demanding innovative, scalable, and sustainable solutions. Brain health has become a …

(1) Background: Alzheimer's disease (AD) is a worldwide neurodegenerative disorder
characterized by the buildup of abnormal proteins in the central nervous system and …

The everyday harms of structural racism and discrimination, perpetuated through institutions,
laws, policies, and practices, constitute social determinants of health, but measures that …

Background Accurate prediction of an individual's predisposition to diseases is vital for
preventive medicine and early intervention. Various statistical and machine learning models …

In recent years, the utility of polygenic risk scores (PRS) in forecasting disease susceptibility
from genome-wide association studies (GWAS) results has been widely recognised. Yet …

Alzheimer's disease (AD) is a neurodegenerative disorder that severely impacts cognitive
function, posing significant physical and psychological burdens on patients and substantial …

背景目前, 人工智能应用于阿尔茨海默病(AD) 领域的研究论文数量增幅较大,
明确该领域最新研究热点和未来发展趋势十分重要. 目的通过应用文献计量学分析 …

INTRODUCTION Establishing valid diagnostic strategies is a precondition for successful
therapeutic intervention in Alzheimer's disease (AD). METHODS One hundred forty‐four …

Machine learning, including deep learning, reinforcement learning, and generative artificial
intelligence are revolutionising every area of our lives when data are made available. With …

Alzheimer's disease (AD) is a significant global health concern, with its impact amplified by
the aging population. Researchers have been working to unravel the intricate mechanisms …