神经退行性疾病管理中的人工智能。

Sanchit Dhankhar, Somdutt Mujwar, Nitika Garg, Samrat Chauhan, Monika Saini, Prerna Sharma, Suresh Kumar, Satish Kumar Sharma, Mohammad Amjad Kamal, Nidhi Rani
{"title":"神经退行性疾病管理中的人工智能。","authors":"Sanchit Dhankhar, Somdutt Mujwar, Nitika Garg, Samrat Chauhan, Monika Saini, Prerna Sharma, Suresh Kumar, Satish Kumar Sharma, Mohammad Amjad Kamal, Nidhi Rani","doi":"10.2174/0118715273266095231009092603","DOIUrl":null,"url":null,"abstract":"<p><p>Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological function. The ability to detect and treat these conditions successfully is crucial for ensuring the best possible quality of life for people who suffer from them. The development of effective new methods for managing and treating neurodegenerative illnesses has been made possible by recent developments in computer technology. In this overview, we take a look at the prospects for applying computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative diseases. To review the current state of the field, this article discusses the potential of computational methods for early disease detection, quantifying disease progression, and understanding the underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated with these approaches and potential future directions. Moreover, it delves into the creation of computational models for the individualization of care for neurodegenerative diseases. The article concludes with suggestions for future studies and clinical applications, highlighting the advantages and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.</p>","PeriodicalId":93947,"journal":{"name":"CNS & neurological disorders drug targets","volume":" ","pages":"931-940"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in The Management of Neurodegenerative Disorders.\",\"authors\":\"Sanchit Dhankhar, Somdutt Mujwar, Nitika Garg, Samrat Chauhan, Monika Saini, Prerna Sharma, Suresh Kumar, Satish Kumar Sharma, Mohammad Amjad Kamal, Nidhi Rani\",\"doi\":\"10.2174/0118715273266095231009092603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological function. The ability to detect and treat these conditions successfully is crucial for ensuring the best possible quality of life for people who suffer from them. The development of effective new methods for managing and treating neurodegenerative illnesses has been made possible by recent developments in computer technology. In this overview, we take a look at the prospects for applying computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative diseases. To review the current state of the field, this article discusses the potential of computational methods for early disease detection, quantifying disease progression, and understanding the underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated with these approaches and potential future directions. Moreover, it delves into the creation of computational models for the individualization of care for neurodegenerative diseases. The article concludes with suggestions for future studies and clinical applications, highlighting the advantages and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.</p>\",\"PeriodicalId\":93947,\"journal\":{\"name\":\"CNS & neurological disorders drug targets\",\"volume\":\" \",\"pages\":\"931-940\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CNS & neurological disorders drug targets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0118715273266095231009092603\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CNS & neurological disorders drug targets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0118715273266095231009092603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

神经退行性疾病的特点是神经功能逐渐但不可逆转的丧失。成功检测和治疗这些疾病的能力对于确保患者获得尽可能好的生活质量至关重要。计算机技术的最新发展使开发管理和治疗神经退行性疾病的有效新方法成为可能。在这篇综述中,我们来看看将计算方法(如药物设计、AI、ML和DL)应用于神经退行性疾病治疗的前景。为了回顾该领域的现状,本文讨论了计算方法在早期疾病检测、量化疾病进展、理解神经退行性疾病的潜在生物学机制方面的潜力,以及与这些方法相关的挑战和潜在的未来方向。此外,它还深入研究了神经退行性疾病个性化护理的计算模型的创建。文章最后对未来的研究和临床应用提出了建议,强调了使用计算技术治疗神经退行性疾病的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Artificial Intelligence in The Management of Neurodegenerative Disorders.

Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological function. The ability to detect and treat these conditions successfully is crucial for ensuring the best possible quality of life for people who suffer from them. The development of effective new methods for managing and treating neurodegenerative illnesses has been made possible by recent developments in computer technology. In this overview, we take a look at the prospects for applying computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative diseases. To review the current state of the field, this article discusses the potential of computational methods for early disease detection, quantifying disease progression, and understanding the underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated with these approaches and potential future directions. Moreover, it delves into the creation of computational models for the individualization of care for neurodegenerative diseases. The article concludes with suggestions for future studies and clinical applications, highlighting the advantages and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Parkinson's Disease: Unravelling the Medicinal Perspectives and Recent Developments of Heterocyclic Monoamine Oxidase-B Inhibitors. Enhanced Neuroprotection in Experiment Multiple Sclerosis through Combined Rosiglitazone and Probiotic-Loaded Solid Lipid Nanoparticles: Modulation of Cellular Signaling Pathways. Parkinson's Disease: A Progressive Neurodegenerative Disorder and Structure-Activity Relationship of MAO Inhibitor Scaffolds as an Important Therapeutic Regimen. Exploring Therapeutic Strategies: The Relationship between Metabolic Disorders and FOXO Signalling in Alzheimer's Disease. Proposed Hypothesis of TWEAK/Fn14 Receptor Modulation in Autism Spectrum Disorder.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1