{"title":"Embracing the future of medicine with virtual patients","authors":"Ken Wang , Neil John Parrott , Thierry Lavé","doi":"10.1016/j.drudis.2025.104322","DOIUrl":null,"url":null,"abstract":"<div><div>The adoption of virtual patients promises to revolutionize pharmaceutical R&D and health care through more patient-centric approaches and is driven by integrating innovations in computational approaches, AI, and advanced <em>in vitro</em> human model systems. Virtual patients can create the conditions for faster and more predictive R&D, affecting all drivers of R&D productivity. Virtual patients enable personalized health care, ensuring precise drug dosing and scheduling to maximize efficacy and minimize adverse effects. Numerous concrete examples demonstrate the transformative potential of virtual patients in real-world scenarios, showcasing significant improvements in drug development and clinical outcomes. Despite challenges in data variability, regulatory compliance, and data privacy, virtual patients hold immense potential to transform R&D and clinical practices, driving a new era of personalized and efficient R&D and health care.</div></div>","PeriodicalId":301,"journal":{"name":"Drug Discovery Today","volume":"30 3","pages":"Article 104322"},"PeriodicalIF":6.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Discovery Today","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359644625000352","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
The adoption of virtual patients promises to revolutionize pharmaceutical R&D and health care through more patient-centric approaches and is driven by integrating innovations in computational approaches, AI, and advanced in vitro human model systems. Virtual patients can create the conditions for faster and more predictive R&D, affecting all drivers of R&D productivity. Virtual patients enable personalized health care, ensuring precise drug dosing and scheduling to maximize efficacy and minimize adverse effects. Numerous concrete examples demonstrate the transformative potential of virtual patients in real-world scenarios, showcasing significant improvements in drug development and clinical outcomes. Despite challenges in data variability, regulatory compliance, and data privacy, virtual patients hold immense potential to transform R&D and clinical practices, driving a new era of personalized and efficient R&D and health care.
期刊介绍:
Drug Discovery Today delivers informed and highly current reviews for the discovery community. The magazine addresses not only the rapid scientific developments in drug discovery associated technologies but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed.
Features include comment by international experts, news and analysis of important developments, reviews of key scientific and strategic issues, overviews of recent progress in specific therapeutic areas and conference reports.