Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring

Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.

Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring（DADM）是由阿尔茨海默氏症协会（Alzheimer's Association®）出版的一份开放式同行评审期刊，专注于发表有关仪器、技术、算法和创新流程的发现、开发和验证的新研究报告。该期刊旨在促进对早期准确检测记忆障碍患者和各种形式记忆障碍高危无症状患者的研究。发表的论文将基于疾病神经生物学的基础知识，转化为实用的报告，详细描述科学研究的概念和方法。期刊特别关注的主题包括生物标记物和替代标记物的开发，以及在概念和方法学方面面临的挑战。优先发表的论文类型包括：1）能够准确跟踪疾病进展的替代标记物的描述；2）符合国际法规要求的生物标记物研究；3）来自大型、具有明确特征的人群队列的报告，特别是涉及无症状个体的异质性和多样性；4）探讨多标记物阵列（如综合组学、遗传学、生物流体、成像等）以及先进计算分析与技术的算法开发的研究。