艾昆纬-医疗保健中的数字双胞胎-解锁个性化医疗和诊断的未来（英）

White PaperDigital Twins in Healthcare Unlocking the future of personalized medicine and diagnosticsHUDA MUBARAK, Consultant, Global Consulting Services, IQVIA MedTechTable of contentsIntroduction 1From concept to care: How digital twins work in healthcare 2Real-world applications, market drivers, and industry momentum 3Challenges and considerations 4The road ahead: Future outlook and strategic recommendations 4Final words: How IQVIA MedTech can support 5References 7About the author 8 iqviamedtech.com | 1Niederer et al. pioneered mechanical models to predict CRT, highlighting the potential of digital twins in cardiology.CRT mechanical modelPhilips launched the HeartNavigator, that integrates CT imaging to provide real-time, 3D insights for cardiac surgery planning.Real-time CT FEops advanced patient-specific cardiac care by transforming traditional cardiac imaging into data-driven digital twin models.Data-driven digital twin modelsThe introduction of HeartFlow Analysis by Cone Health combined CT, AI, and compu-tational physiology to revolutionize non-invasive cardiac diagnostics.AI in cardiac diagnosticsTakeda Pharmaceuticals adopted digital twin technology to optimize drug development processes, significantly reducing research timelines and costs.Digital twins in pharmaceuticals20112017201820202022Introduction Once a futuristic concept born in aerospace and automotive industries, digital twins are now reshaping healthcare. These real-time virtual replicas of organs, patients, or entire hospital systems continuously sync with real-world data from sources like electronic health records, wearable devices, and imaging.1 In doing so, they enable highly personalized treatment, faster innovation, and smarter operations.Their evolution in healthcare has been marked by pivotal moments: from the 2011 study by Niederer et al. demonstrating mechanical modeling for predicting CRT outcome,2 to the 2017 introduction of HeartFlow Analysis—a breakthrough in non-invasive cardiac diagnostics using CT and AI.3 These milestones paved the way for tools like Philips’ HeartNavigator in 20184 and Takeda’s integration of patient-specific simulations into drug development in 2020.5 Source: IQVIA MedTech Research and AnalysisThe development of digital twins in healthcare has been marked by several pivotal milestones2 | Digital Twins in Healthcare: Unlocking the Future of Personalized Medicine and DiagnosticsData reflecting biological system behavior informs clinical decision-support systems, aiding healthcare professionals in making informed decisions.Digital twin behave similarly to the real twinSimulation software based on established numerical techniques, predicts the outputs from given inputs creating the “digital twin”Data collection from imaging scanners, laboratory tests, wearable monitoring devices, and electronic health recordsDATADATA UPDATESDATA54312Data storageSmartwatchWellnessappRemoteECGFrom concept to care: How digital twins work in healthcareDig