Smart Nanomedicines for Neurodegenerative Diseases: Empowering New Therapies with Molecular Imaging and Artificial Intelligence.

IF 4.4 3区 医学 Q1 GENETICS & HEREDITY
Jaison Jeevanandam, Grygoriy Tsenov, Michael K Danquah, Daniel Ruiz-Molena, Stergios Boussios, Saak V Ovsepian
{"title":"Smart Nanomedicines for Neurodegenerative Diseases: Empowering New Therapies with Molecular Imaging and Artificial Intelligence.","authors":"Jaison Jeevanandam, Grygoriy Tsenov, Michael K Danquah, Daniel Ruiz-Molena, Stergios Boussios, Saak V Ovsepian","doi":"10.1007/s40291-025-00813-6","DOIUrl":null,"url":null,"abstract":"<p><p>Neurodegenerative diseases (NDDs) remain among the most challenging disorders to treat, owing to their multifactorial pathology, limited drug delivery across the blood-brain barrier, and lack of effective disease-modifying therapies. Smart nanomedicines are emerging as powerful tools to overcome these challenges by enabling targeted delivery, controlled release, and enhanced bioavailability of therapeutics. In parallel, advances in molecular imaging, combined with machine learning (ML) and artificial intelligence (AI), are transforming the design, validation, and optimization of nanomedicines. This article integrates the rapidly evolving fields of nanomedicine and AI/ML-driven imaging to evaluate their synergistic potential toward NDD therapy. The capabilities of AI-aided imaging for mapping nanomedicine biodistribution, predicting therapeutic outcomes, guiding nanoparticle design, and ensuring quality control at preclinical and clinical stages in NDDs are discussed. This synergistic approach opens new avenues for precision medicine, enabling personalized and adaptive treatment strategies for Alzheimer's, Parkinson's, and other NDDs by linking smart nanocarriers with intelligent imaging analytics. Hence, this article presents a roadmap for translating AI-guided nanomedicine-integrated imaging platforms into clinically viable solutions, marking a paradigm shift in the diagnosis and treatment of NDDs.</p>","PeriodicalId":49797,"journal":{"name":"Molecular Diagnosis & Therapy","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Diagnosis & Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40291-025-00813-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Neurodegenerative diseases (NDDs) remain among the most challenging disorders to treat, owing to their multifactorial pathology, limited drug delivery across the blood-brain barrier, and lack of effective disease-modifying therapies. Smart nanomedicines are emerging as powerful tools to overcome these challenges by enabling targeted delivery, controlled release, and enhanced bioavailability of therapeutics. In parallel, advances in molecular imaging, combined with machine learning (ML) and artificial intelligence (AI), are transforming the design, validation, and optimization of nanomedicines. This article integrates the rapidly evolving fields of nanomedicine and AI/ML-driven imaging to evaluate their synergistic potential toward NDD therapy. The capabilities of AI-aided imaging for mapping nanomedicine biodistribution, predicting therapeutic outcomes, guiding nanoparticle design, and ensuring quality control at preclinical and clinical stages in NDDs are discussed. This synergistic approach opens new avenues for precision medicine, enabling personalized and adaptive treatment strategies for Alzheimer's, Parkinson's, and other NDDs by linking smart nanocarriers with intelligent imaging analytics. Hence, this article presents a roadmap for translating AI-guided nanomedicine-integrated imaging platforms into clinically viable solutions, marking a paradigm shift in the diagnosis and treatment of NDDs.

神经退行性疾病的智能纳米药物:利用分子成像和人工智能增强新疗法。
神经退行性疾病(ndd)仍然是最具挑战性的疾病之一,由于其多因素病理,通过血脑屏障的药物递送有限,以及缺乏有效的疾病改善疗法。智能纳米药物正在成为克服这些挑战的有力工具,通过实现靶向递送、控制释放和提高治疗药物的生物利用度。与此同时,分子成像技术的进步,结合机器学习(ML)和人工智能(AI),正在改变纳米药物的设计、验证和优化。本文整合了纳米医学和人工智能/机器学习驱动成像的快速发展领域,以评估它们对NDD治疗的协同潜力。讨论了人工智能辅助成像在ndd的临床前和临床阶段绘制纳米药物生物分布、预测治疗结果、指导纳米颗粒设计和确保质量控制方面的能力。这种协同方法为精准医疗开辟了新的途径,通过将智能纳米载体与智能成像分析相结合,为阿尔茨海默病、帕金森病和其他ndd提供个性化和适应性治疗策略。因此,本文提出了将人工智能引导的纳米医学集成成像平台转化为临床可行解决方案的路线图,标志着ndd诊断和治疗的范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.80
自引率
2.50%
发文量
53
审稿时长
>12 weeks
期刊介绍: Molecular Diagnosis & Therapy welcomes current opinion articles on emerging or contentious issues, comprehensive narrative reviews, systematic reviews (as outlined by the PRISMA statement), original research articles (including short communications) and letters to the editor. All manuscripts are subject to peer review by international experts.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信