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Serotonin-mediated regulation of mitophagy in Alzheimer's disease: Mechanistic insights and therapeutic potential 阿尔茨海默病中5 -羟色胺介导的线粒体自噬调节:机制见解和治疗潜力。
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-25 DOI: 10.1016/j.arr.2025.102957
Omme Fatema Sultana , Madhuri Bandaru , MST Anika Bushra , P. Hemachandra Reddy , Arubala P. Reddy
This review delves into the intricate relationship between serotonin signaling, mitophagy and mitochondrial dysfunction in Alzheimer's disease (AD), with a focus on the mechanistic pathways that link these processes and their potential therapeutic implications. A neurodegenerative condition called Alzheimer's disease is marked by cognitive deterioration. It is increasingly recognized as being influenced by impaired mitochondrial function and mitophagy, the selective degradation of damaged mitochondria. Serotonin, a neurotransmitter traditionally known for its role in mood regulation, has emerged as a critical modulator of mitochondrial dynamics and quality control through its interaction with key pathways such as the PINK1-Parkin and cAMP/PKA signaling pathways. In AD, alterations in serotonin levels and receptor function are associated with disruptions in mitophagy, leading to the accumulation of dysfunctional mitochondria, increased oxidative stress, and subsequent neuronal damage. This review synthesizes current evidence that links serotonin dysregulation to mitochondrial pathology in AD, exploring how impaired serotonin signaling exacerbates mitochondrial dysfunction and contributes to amyloid-beta (Aβ), phosphorylation of Tau (p-Tau) accumulations, and increased neuroinflammation. Additionally, we assessed the therapeutic potential of serotonin-targeting agents, particularly selective serotonin reuptake inhibitors (SSRIs), in restoring mitophagy, enhancing mitochondrial integrity, and attenuating neurodegeneration. By highlighting existing knowledge gaps and key controversies, this review underscores the promise of serotonin-mitochondria pathways as novel therapeutic targets and advocates for focused investigation into receptor-specific, mitophagy-centered interventions for AD.
这篇综述深入研究了血清素信号、线粒体自噬和线粒体功能障碍在阿尔茨海默病(AD)中的复杂关系,重点关注了连接这些过程的机制途径及其潜在的治疗意义。阿尔茨海默病是一种神经退行性疾病,其特征是认知能力下降。它越来越被认为是受到线粒体功能受损和线粒体自噬的影响,线粒体自噬是受损线粒体的选择性降解。5 -羟色胺是一种神经递质,传统上以其在情绪调节中的作用而闻名,通过与PINK1-Parkin和cAMP/PKA信号通路等关键通路的相互作用,已成为线粒体动力学和质量控制的关键调节剂。在阿尔茨海默病中,血清素水平和受体功能的改变与线粒体自噬的中断有关,导致功能失调线粒体的积累,氧化应激增加,以及随后的神经元损伤。这篇综述综合了目前的证据,将血清素失调与阿尔茨海默病的线粒体病理联系起来,探讨了血清素信号受损如何加剧线粒体功能障碍,并导致淀粉样蛋白β (Aβ)、Tau蛋白磷酸化(p-Tau)积累和神经炎症增加。此外,我们评估了5 -羟色胺靶向药物,特别是选择性5 -羟色胺再摄取抑制剂(SSRIs)在恢复线粒体自噬、增强线粒体完整性和减轻神经退行性变方面的治疗潜力。通过强调现有的知识差距和关键的争议,本综述强调了5 -羟色胺-线粒体途径作为新的治疗靶点的前景,并倡导集中研究受体特异性、以线粒体自噬为中心的AD干预措施。
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引用次数: 0
Applications of AI in the management of elderly diabetes patients 人工智能在老年糖尿病患者管理中的应用
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-25 DOI: 10.1016/j.arr.2025.102960
Tianci Xie , Ziyu Wang , Jieyu He , Jingjing Zhang
The prevalence of diabetes among the elderly population has been rising rapidly. Elderly individuals with diabetes frequently exhibit atypical symptoms, and face an increased risk of severe complications, comorbidities and geriatric syndromes, including hypoglycemia, sarcopenia, cognitive impairment, depression, and falls. These issues not only diminish quality of life, but also contribute to elevated disease burden. Conventional diabetes management strategies for this population often fall short due to their invasive nature, limited capacity for real-time monitoring, and poor patient adherence. The emergence of artificial intelligence (AI) in medicine offers a transformative solution to these challenges. Fueled by large-scale datasets, advanced machine learning algorithms, and state-of-the-art computational techniques, AI enables non-invasive, real-time monitoring systems and delivers personalized diagnostic and treatment solutions for this population. This review comprehensively explores the role of AI in managing diabetes and its comorbid conditions among older adults, highlighting its applications in screening, diagnostic, monitoring, and therapeutic strategies. It also addresses the practical challenges and ethical considerations of integrating AI into clinical practice.
糖尿病在老年人群中的患病率一直在迅速上升。老年糖尿病患者经常表现出非典型症状,并面临严重并发症、合并症和老年综合征的风险增加,包括低血糖、肌肉减少症、认知障碍、抑郁和跌倒。这些问题不仅降低了生活质量,而且增加了疾病负担。由于其侵入性、实时监测能力有限以及患者依从性差,传统的糖尿病管理策略对这一人群的影响往往不足。人工智能(AI)在医学领域的出现为这些挑战提供了一种变革性的解决方案。在大规模数据集、先进的机器学习算法和最先进的计算技术的推动下,人工智能实现了非侵入性的实时监测系统,并为这一人群提供了个性化的诊断和治疗解决方案。本文全面探讨了人工智能在老年人糖尿病及其合并症管理中的作用,重点介绍了人工智能在筛查、诊断、监测和治疗策略方面的应用。它还解决了将人工智能整合到临床实践中的实际挑战和伦理考虑。
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引用次数: 0
Understanding glial cells: Implications for multiple sclerosis pathogenesis and therapeutics 了解神经胶质细胞:对多发性硬化发病机制和治疗的影响
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-25 DOI: 10.1016/j.arr.2025.102961
Yadav Shubham Lalmani, Rahul Deshmukh
Multiple sclerosis has been closely related to the dysfunction of Glial cells, focusing on astrocytes, oligodendrocytes, and microglia. The prevalence of Multiple sclerosis has increased in India but diagnosis and treatment also remain a factor that severely impacts a patient’s social duties and family’s well-being. Severe disability and cognitive impairment predict job loss, declining standards of living. These cells serve an essential role in maintaining normal homeostasis and facilitating neuronal activity, while also contributing significantly to neuroinflammation. The glial cell dysfunction occurs via multiple pathways, such as demyelination, reactive astrocytosis, and microglial activation, all of which have a role in the pathogenesis and progression of multiple sclerosis. The existing therapeutic methods, including disease-modifying therapies and symptomatic management, address novel tactics aimed at glial cells, namely in the areas of remyelination and immunomodulation. A robust literature survey underlines the significance of comprehending the complex interplay between glial cells and the immune system in multiple sclerosis, indicating that this insight may facilitate more targeted and individualized therapeutic strategies. The current review is focused on understanding the role of glial cells in multiple sclerosis pathology, the current treatments available, and possible potential therapeutics for Multiple sclerosis management.
多发性硬化症与胶质细胞功能障碍密切相关,以星形胶质细胞、少突胶质细胞和小胶质细胞为主。多发性硬化症的患病率在印度有所上升,但诊断和治疗仍然是严重影响患者社会责任和家庭幸福的一个因素。严重的残疾和认知障碍预示着失业,生活水平下降。这些细胞在维持正常的体内平衡和促进神经元活动方面起着重要作用,同时也对神经炎症起着重要作用。胶质细胞功能障碍通过多种途径发生,如脱髓鞘、反应性星形细胞增生、小胶质细胞活化等,这些途径都参与了多发性硬化的发病和进展。现有的治疗方法,包括疾病修饰疗法和症状管理,解决了针对胶质细胞的新策略,即在髓鞘再生和免疫调节领域。一项强有力的文献调查强调了理解多发性硬化症中神经胶质细胞和免疫系统之间复杂相互作用的重要性,表明这一见解可能有助于更有针对性和个性化的治疗策略。目前的综述集中在了解胶质细胞在多发性硬化症病理中的作用,目前可用的治疗方法,以及多发性硬化症治疗的可能潜在治疗方法。
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引用次数: 0
Insulin resistance as a mediator of physical activity's effects on beta-amyloid accumulation and tau phosphorylation: A scoping review 胰岛素抵抗作为身体活动对β -淀粉样蛋白积累和tau蛋白磷酸化影响的中介:范围综述
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-24 DOI: 10.1016/j.arr.2025.102956
Michael G. Slee , Joanne Scotney , Stephanie R. Rainey-Smith , Kirk I. Erickson , Hamid R. Sohrabi , Giuseppe Verdile , Belinda M. Brown

Background

Type 2 diabetes is associated with increased Alzheimer’s disease risk and brain beta amyloid (Aβ) burden, suggesting an underlying mechanistic relationship between Alzheimer’s disease and type 2 diabetes. Animal studies show exercise reduces levels of brain Aβ and tau, and while human studies are somewhat limited, some studies have reported physical activity is associated with lower brain Aβ and tau levels. Exercise has well established links to reductions in insulin resistance; thus, as physical activity can impact both insulin resistance and Alzheimer’s disease pathology and/or biomarkers, it is reasonable to hypothesise that a mediating relationship may exist. The objective of this review was to identify what evidence exists that examines the association between insulin, physical activity, Aβ and tau in research conducted on animal models and in human cohorts. We specifically aimed to identify whether insulin resistance has a mediating role in the relationship between physical activity and Aβ and tau.

Methods

A systematic search was performed in Cochrane library, PsycINFO, PubMed and World of Science to identify publications. The search identified 343 articles with 20 articles meeting the full inclusion criteria.

Results

Most animal studies showed that exercise could simultaneously reduce insulin resistance and Alzheimer’s disease pathology and/or biomarkers. We found limited evidence from human research that physical activity was associated with both reduced insulin resistance and Aβ or tau levels. We did not find any evidence that insulin resistance mediates the physical activity – Aβ or tau relationship.

Conclusion

Exercise can simultaneously impact insulin resistance and Alzheimer’s disease pathology in animal models. Results from human research are limited, and no robust evaluation of the potential mediating role of insulin resistance in the physical activity – Aβ or tau relationship exists. Future research should focus on identifying the mediating pathways that may link physical activity to biomarkers of Alzheimer’s disease.
背景2型糖尿病与阿尔茨海默病风险增加和脑β淀粉样蛋白(Aβ)负担相关,提示阿尔茨海默病和2型糖尿病之间存在潜在的机制关系。动物研究表明,运动可以降低大脑中Aβ和tau蛋白的水平,而人类研究在一定程度上是有限的,一些研究已经报告了体育活动与较低的大脑Aβ和tau蛋白水平有关。锻炼与降低胰岛素抵抗有很好的联系;因此,由于体育活动可以影响胰岛素抵抗和阿尔茨海默病病理和/或生物标志物,因此有理由假设可能存在中介关系。本综述的目的是确定在动物模型和人类队列研究中存在哪些证据可以检验胰岛素、身体活动、Aβ和tau之间的关联。我们特别旨在确定胰岛素抵抗是否在身体活动与a β和tau之间的关系中起中介作用。方法系统检索Cochrane library、PsycINFO、PubMed、World of Science等文献。检索发现343篇文章,其中20篇符合全部纳入标准。结果大多数动物研究表明,运动可以同时降低胰岛素抵抗和阿尔茨海默病的病理和/或生物标志物。我们从人类研究中发现有限的证据表明,体育活动与降低胰岛素抵抗和Aβ或tau水平有关。我们没有发现任何证据表明胰岛素抵抗介导身体活动- Aβ或tau的关系。结论运动可同时影响动物模型的胰岛素抵抗和阿尔茨海默病病理。人类研究的结果有限,并且没有关于胰岛素抵抗在身体活动- Aβ或tau关系中的潜在中介作用的可靠评估。未来的研究应侧重于确定可能将体育活动与阿尔茨海默病的生物标志物联系起来的中介途径。
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引用次数: 0
Reevaluating principal component analysis in geroscience: A call for nonlinear approaches in AI-based evaluations 重新评价古科学中的主成分分析:对基于人工智能的评价中非线性方法的呼吁
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-24 DOI: 10.1016/j.arr.2025.102964
Yoshiyasu Takefuji
Fuellen et al. (2025) highlighted the essential role of explainable AI methods, particularly principal component analysis (PCA), in evaluating interventions for aging and longevity. However, this paper raises significant concerns regarding PCA's linear and parametric nature, which can misrepresent complex, nonlinear data common in geroscience research. As biological relationships often defy simplistic interpretations, reliance on PCA may obscure vital insights, leading to potential misinterpretations of intervention effects. To enhance accuracy in analyses, this study advocates for the adoption of nonlinear and nonparametric methods, such as Spearman’s rank correlation and Kendall’s tau. By reconsidering their methodological approaches, researchers can foster more accurate and informed evaluations of aging-related interventions.
Fuellen等人(2025)强调了可解释的人工智能方法,特别是主成分分析(PCA)在评估老龄化和长寿干预措施中的重要作用。然而,本文提出了对PCA的线性和参数性质的重大关注,这可能会歪曲古科学研究中常见的复杂非线性数据。由于生物关系往往不接受简单的解释,依赖PCA可能会模糊重要的见解,导致对干预效果的潜在误解。为了提高分析的准确性,本研究提倡采用非线性和非参数方法,如Spearman 's rank correlation和Kendall 's tau。通过重新考虑他们的方法方法,研究人员可以促进更准确和知情的评估老龄化相关的干预措施。
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引用次数: 0
The past, present, and future of adipose tissue browning and aging: A review combined with bibliometrics and bioinformatics of 2527 documents published over the past four decades 脂肪组织褐变和衰老的过去、现在和未来:结合文献计量学和生物信息学对过去40年发表的2527篇文献的回顾
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-24 DOI: 10.1016/j.arr.2025.102959
Yucheng Luo , Yuang Song , Minxi Zeng , Bin Li , Ye Li , Ziqing Dong
Aging is one of the factors for the decline in adipose tissue browning and, consequently, age-related metabolic disorders. Metabolic disorders will in turn accelerate aging and lead to a vicious circle. Therefore, the research on the reduced browning of adipose tissue that occurs with aging, that is, adipose tissue browning aging, is necessary and of great significance for the development of metabolically healthy aging. In this study, we performed a bibliometric analysis of 2527 published articles on aging of adipose tissue browning and created a panorama from different levels so that readers could quickly understand the current state of the research field. The burst analysis and timeline analysis were used to identify the research frontiers in the field, and the newly published documents were discussed and summarized. In addition, we performed bioinformatic analysis on the GEO-derived dataset to identify the altered genes and enriched pathways associated with browning during aging. Combined with bibliometric analysis, the most concerned pathway was identified as adipogenesis, and the most concerned genes were PPARG, ADIPOQ and TG. In summary, this study provided a comprehensive picture of the current status of adipose tissue browning and aging research and identified research frontiers. Finally, the pathways and genes of most interest were identified by combined bioinformatic analysis.
衰老是脂肪组织褐变减少的因素之一,因此,与年龄相关的代谢紊乱。代谢紊乱反过来又会加速衰老,导致恶性循环。因此,研究随着年龄增长而发生的脂肪组织褐变减少,即脂肪组织褐变衰老,对于发展代谢健康的衰老是必要的,具有重要意义。在本研究中,我们对已发表的2527篇关于脂肪组织褐变老化的文章进行了文献计量学分析,从不同的层面构建了一个全景图,以便读者能够快速了解研究领域的现状。采用突发分析和时间线分析方法识别该领域的研究前沿,并对新发表的文献进行了讨论和总结。此外,我们对geo衍生数据集进行了生物信息学分析,以确定与衰老过程中褐变相关的改变基因和富集途径。结合文献计量学分析,鉴定出最受关注的途径为脂肪生成,最受关注的基因为PPARG、ADIPOQ和TG。综上所述,本研究全面介绍了脂肪组织褐变与衰老的研究现状,明确了研究前沿。最后,通过联合生物信息学分析确定了最感兴趣的途径和基因。
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引用次数: 0
Technological innovations: Applications of novel imaging techniques and biomarkers in emergency stroke centers 技术创新:新型成像技术和生物标志物在紧急中风中心的应用。
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-24 DOI: 10.1016/j.arr.2025.102962
Mingbin Luo, Jibo Qu , Huan Zhao, Chunmei Lu, Xiaomei Su, Mengyuan Li, Mengsi Yang, Yun Xiang
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引用次数: 0
The role of in silico and in vitro models in Parkinson’s disease: Drug discovery and therapy applications 计算机和体外模型在帕金森病中的作用:药物发现和治疗应用。
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-22 DOI: 10.1016/j.arr.2025.102953
Munabize Himwaba , Kermue Vasco Jarnda , Maxwell Tarwin Dweh , Xuan Liu , Yuyue Xiang , Xiyan Zou , Hanxiao Lv , Tianjiao Li , Xinya Tu , Jianwu Wang
Parkinson's disease is a neurodegenerative condition, marked by a progressive deterioration in both motor and non-motor abilities, which can severely affect the quality of life of the elderly population. With no cure available, innovative tools in treatment development and drug discovery are necessary. For several years, traditional models have been essential; however, they face limitations in replicating the complex setting of Parkinson's disease. In this regard, in silico and in vitro models have become essential tools in advancing Parkinson's disease drug discovery because of the potential they exhibit over traditional models. Here, we comprehensively review the latest innovations in both models and discuss their role in discovering therapeutic targets, optimizing drug candidates, promoting personalized medicine, and identifying biomarkers. While in vitro models better simulate the complicated cell interactions and increase the predictability of therapeutic effects, silico models shine in cost-effectiveness and high-throughput drug screening. Additionally, we discuss how combining advanced technologies with both models can help to overcome current constraints and problems in Parkinson's disease drug discovery, therefore facilitating the development of effective and targeted therapies in a shorter timeframe.
帕金森病是一种神经退行性疾病,其特征是运动和非运动能力的进行性恶化,这可能严重影响老年人的生活质量。由于无法治愈,在治疗开发和药物发现方面的创新工具是必要的。多年来,传统模式一直至关重要;然而,他们在复制帕金森病的复杂环境方面面临着局限性。在这方面,计算机和体外模型已经成为推进帕金森病药物发现的重要工具,因为它们比传统模型更具潜力。在这里,我们全面回顾了这两种模型的最新创新,并讨论了它们在发现治疗靶点、优化候选药物、促进个性化医疗和识别生物标志物方面的作用。体外模型能更好地模拟复杂的细胞相互作用,提高治疗效果的可预测性,而硅模型在成本效益和高通量药物筛选方面大放异彩。此外,我们讨论了如何将先进技术与两种模型相结合,以帮助克服当前帕金森病药物发现的限制和问题,从而促进在更短的时间内开发有效的靶向治疗方法。
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引用次数: 0
The muscle-brain axis in type 2 diabetes: Molecular pathways linking sarcopenia and cognitive decline 2型糖尿病的肌肉-脑轴:连接肌肉减少症和认知能力下降的分子途径
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-21 DOI: 10.1016/j.arr.2025.102955
Dionysios Xenos , Francesca Mancinetti , Patrizia Mecocci , Virginia Boccardi
Type 2 diabetes mellitus (T2DM) is increasingly recognized as a shared pathological substrate for both sarcopenia and cognitive decline, particularly Alzheimer’s disease (AD). This review synthesizes current evidence on the converging molecular pathways linking insulin resistance, hyperglycaemia, mitochondrial dysfunction, oxidative stress, and chronic inflammation to muscle wasting and neurodegeneration. Central to this interplay is the muscle–brain axis, a bidirectional communication network mediated by myokines, exercise-induced cytokines that influence metabolic and neural homeostasis. Key myokines such as IGF-1, irisin, BDNF, FGF21, and SPARC promote myogenesis, synaptic plasticity, and neuroprotection, while others including myostatin, IL-8, and GDF-15 exert detrimental effects. Context-dependent molecules such as IL-6, IL-15, lactate, and cathepsin-B show dual roles modulated by aging, inflammation, and metabolic state. Emerging data support that improved glycaemic control, enhanced insulin sensitivity, and sustained physical activity can attenuate both sarcopenia and cognitive decline. This review aims to summarize current evidence describing how insulin resistance, chronic hyperglycaemia, mitochondrial dysfunction, oxidative stress, and inflammation interact to promote both muscle wasting and neurodegeneration.
2型糖尿病(T2DM)越来越被认为是肌肉减少症和认知能力下降的共同病理底物,尤其是阿尔茨海默病(AD)。这篇综述综合了目前关于胰岛素抵抗、高血糖、线粒体功能障碍、氧化应激和慢性炎症与肌肉萎缩和神经退行性变之间的分子通路的证据。这种相互作用的核心是肌肉-脑轴,这是一个由肌肉因子介导的双向通信网络,运动诱导的细胞因子影响代谢和神经稳态。关键的肌肉因子如IGF-1、鸢尾素、BDNF、FGF21和SPARC促进肌肉发生、突触可塑性和神经保护,而其他包括肌肉生长抑制素、IL-8和GDF-15则产生有害影响。背景依赖性分子如IL-6、IL-15、乳酸和组织蛋白酶- b显示出受衰老、炎症和代谢状态调节的双重作用。新出现的数据支持改善血糖控制、增强胰岛素敏感性和持续的身体活动可以减轻肌肉减少症和认知能力下降。这篇综述旨在总结目前关于胰岛素抵抗、慢性高血糖、线粒体功能障碍、氧化应激和炎症如何相互作用促进肌肉萎缩和神经退行性变的证据。
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引用次数: 0
Magnetic resonance imaging analysis for Alzheimer’s disease diagnosis using artificial intelligence: Methods, challenges, and opportunities 磁共振成像分析用于阿尔茨海默病的人工智能诊断:方法、挑战和机遇。
IF 12.4 1区 医学 Q1 CELL BIOLOGY Pub Date : 2025-11-19 DOI: 10.1016/j.arr.2025.102943
Qiye Shi , Junbao Hou , Xiaohan Peng , Ziqi Xu , Yang Wang , Danna Cao
Alzheimer’s disease(AD) is the most common cause of dementia and affects millions of people worldwide. The early and accurate diagnosis of AD is crucial for timely intervention and disease management. Magnetic resonance imaging (MRI) is a widely used noninvasive technique for assessing brain structure and function in patients with AD. However, conventional MRI analysis methods are often subjective, time-consuming, and depend on expert knowledge. Artificial intelligence (AI), particularly deep learning (DL), has emerged as a powerful tool for extracting meaningful information from large and complex MRI data and providing an automated and reliable diagnosis of AD. In this review, we summarize the recent advances and challenges in AI MRI for AD diagnosis, focusing on the following aspects: (1) types and characteristics of MRI data used for AD diagnosis; (2) the main AI models and architectures applied to MRI data analysis; (3) performance and evaluation metrics of AI models for AD diagnosis; (4) potential applications and limitations of AI models for AD diagnosis in clinical practice; and (5) future research directions for AI MRI for AD diagnosis. This review aims to provide a comprehensive and updated overview of the field and stimulate further research and advancements in AI-aided MRI for the diagnosis of AD.
阿尔茨海默病(AD)是痴呆症最常见的病因,影响着全世界数百万人。AD的早期准确诊断对于及时干预和疾病管理至关重要。磁共振成像(MRI)是一种广泛应用于评估AD患者大脑结构和功能的无创技术。然而,传统的MRI分析方法往往是主观的,耗时的,并依赖于专家知识。人工智能(AI),特别是深度学习(DL),已经成为一种强大的工具,可以从大量复杂的MRI数据中提取有意义的信息,并提供AD的自动可靠诊断。本文综述了人工智能MRI在阿尔茨海默病诊断中的最新进展和挑战,重点介绍了以下几个方面:(1)用于阿尔茨海默病诊断的MRI数据的类型和特征;(2)应用于MRI数据分析的主要AI模型和架构;(3)人工智能AD诊断模型的性能及评价指标;(4)人工智能模型在阿尔茨海默病诊断中的潜在应用和局限性;(5) AI MRI在AD诊断中的未来研究方向。本综述旨在提供该领域的全面和最新概述,并促进ai辅助MRI诊断AD的进一步研究和进展。
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引用次数: 0
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Ageing Research Reviews
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