Potential of Artificial Intelligence to Accelerate Drug Development for Rare Diseases.

IF 3.1 Q2 PHARMACOLOGY & PHARMACY Pharmaceutical Medicine Pub Date : 2024-03-01 Epub Date: 2024-02-05 DOI:10.1007/s40290-023-00504-9
Giulio Napolitano, Canan Has, Anne Schwerk, Jui-Hung Yuan, Carsten Ullrich
{"title":"Potential of Artificial Intelligence to Accelerate Drug Development for Rare Diseases.","authors":"Giulio Napolitano, Canan Has, Anne Schwerk, Jui-Hung Yuan, Carsten Ullrich","doi":"10.1007/s40290-023-00504-9","DOIUrl":null,"url":null,"abstract":"<p><p>The growth in breadth and depth of artificial intelligence (AI) applications has been fast, running hand in hand with the increasing amount of digital data available. Here, we comment on the application of AI in the field of drug development, with a strong focus on the specific achievements and challenges posed by rare diseases. Data paucity and high costs make drug development for rare diseases especially hard. AI can enable otherwise inaccessible approaches based on the large-scale integration of heterogeneous datasets and knowledge bases, guided by expert biological understanding. Obstacles still exist for the routine use of AI in the usually conservative pharmaceutical domain, which can easily become disillusioned. It is crucial to acknowledge that AI is a powerful, supportive tool that can assist but not replace human expertise in the various phases and aspects of drug discovery and development.</p>","PeriodicalId":19778,"journal":{"name":"Pharmaceutical Medicine","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmaceutical Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40290-023-00504-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/5 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

The growth in breadth and depth of artificial intelligence (AI) applications has been fast, running hand in hand with the increasing amount of digital data available. Here, we comment on the application of AI in the field of drug development, with a strong focus on the specific achievements and challenges posed by rare diseases. Data paucity and high costs make drug development for rare diseases especially hard. AI can enable otherwise inaccessible approaches based on the large-scale integration of heterogeneous datasets and knowledge bases, guided by expert biological understanding. Obstacles still exist for the routine use of AI in the usually conservative pharmaceutical domain, which can easily become disillusioned. It is crucial to acknowledge that AI is a powerful, supportive tool that can assist but not replace human expertise in the various phases and aspects of drug discovery and development.

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
人工智能加速罕见病药物开发的潜力。
人工智能(AI)应用的广度和深度一直在快速增长,与此同时,可用的数字数据量也在不断增加。在此,我们将对人工智能在药物开发领域的应用进行评论,重点关注罕见病带来的具体成就和挑战。数据匮乏和成本高昂使得罕见病的药物研发尤为困难。人工智能可以在专家生物理解的指导下,大规模整合异构数据集和知识库,从而实现原本无法实现的方法。在通常比较保守的制药领域,人工智能的常规应用仍然存在障碍,这很容易让人产生幻灭感。必须承认,人工智能是一种强大的辅助工具,可以在药物发现和开发的各个阶段和方面协助但不能取代人类的专业知识。
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 去求助
来源期刊
Pharmaceutical Medicine
Pharmaceutical Medicine PHARMACOLOGY & PHARMACY-
CiteScore
5.10
自引率
4.00%
发文量
36
期刊介绍: Pharmaceutical Medicine is a specialist discipline concerned with medical aspects of the discovery, development, evaluation, registration, regulation, monitoring, marketing, distribution and pricing of medicines, drug-device and drug-diagnostic combinations. The Journal disseminates information to support the community of professionals working in these highly inter-related functions. Key areas include translational medicine, clinical trial design, pharmacovigilance, clinical toxicology, drug regulation, clinical pharmacology, biostatistics and pharmacoeconomics. The Journal includes:Overviews of contentious or emerging issues.Comprehensive narrative reviews that provide an authoritative source of information on topical issues.Systematic reviews that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by PRISMA statement.Original research articles reporting the results of well-designed studies with a strong link to wider areas of clinical research.Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Pharmaceutical Medicine may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.All manuscripts are subject to peer review by international experts. Letters to the Editor are welcomed and will be considered for publication.
期刊最新文献
Addressing Challenges in Antibiotic Access: Barriers, Implications and Strategies for Solution. Transdermal Drug Delivery Systems: Different Generations and Dermatokinetic Assessment of Drug Concentration in Skin. The Pharmaceutical Year that was, 2024. Cultivating Excellence: Future-Proofing Medical Affairs with Tailored Talent Programs. P.O.L.A.R. Star: A New Framework Developed and Applied by One Mid-Sized Pharmaceutical Company to Drive Digital Transformation in R&D.
×
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