Journal of Advances in Developmental Research

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Digital Twins in Healthcare: The Future of Personalized Healthcare

Author(s) Puneet Sharma
Country United States
Abstract The convergence of advanced simulation technologies, machine learning, and healthcare has ushered in the era of Digital Twins—a revolutionary concept poised to redefine personalized medicine. Digital Twins replicate physical entities, such as human organs, systems, or even entire patients, in the virtual realm, enabling real-time monitoring, predictive analysis, and outcome optimization. In healthcare, this innovation promises unparalleled precision in diagnostics, treatment planning, and medical research.
This paper explores the multifaceted applications of Digital Twins in healthcare, ranging from personalized treatment strategies to drug development and healthcare system management. It also delves into the challenges associated with integrating Digital Twins, such as computational complexity, data integration, and ethical concerns, while discussing potential solutions. By blending insights from AI, IoT, and bioinformatics, Digital Twins have the potential to revolutionize healthcare delivery and enhance patient outcomes.
Keywords Digital Twins, Personalized Medicine, Healthcare Simulation, Predictive Analytics, Virtual Models, AI in Healthcare, IoT, Real-Time Monitoring, Ethical AI, Computational
Field Engineering
Published In Volume 12, Issue 1, January-June 2021
Published On 2021-03-03
Cite This Digital Twins in Healthcare: The Future of Personalized Healthcare - Puneet Sharma - IJAIDR Volume 12, Issue 1, January-June 2021. DOI 10.5281/zenodo.14615815
DOI https://doi.org/10.5281/zenodo.14615815
Short DOI https://doi.org/g8x3sz
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