1、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 ind

2、ustry momentum 3Challenges and considerations 4The road ahead:Future outlook and strategic recommendations 4Final words:How IQVIA MedTech can support 5References 7About the author 8 |1Niederer et al.pioneered mechanical models to predict CRT,highlighting the potential of digital twins in cardiology.

3、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 digi

4、tal 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 red

5、ucing 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 continuo

6、usly 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