Human Body Digital Twin: A Master Plan
Chenyu Tang, Wentian Yi, Edoardo Occhipinti, Yanning Dai, Shuo Gao,, and Luigi G. Occhipinti

TL;DR
This paper provides a comprehensive overview and a strategic five-level roadmap for developing human body digital twins, emphasizing technological, ethical, and practical considerations to revolutionize healthcare.
Contribution
It introduces a detailed development framework for human body digital twins, integrating components like sensors, data analysis, and decision systems, with emphasis on responsible implementation.
Findings
Proposes a five-level roadmap for human body DT development.
Highlights key challenges including security, ethics, and cost.
Provides a framework to guide future interdisciplinary research.
Abstract
A human body digital twin (DT) is a virtual representation of an individual's physiological state, created using real-time data from sensors and medical test devices, with the purpose of simulating, predicting, and optimizing health outcomes through advanced analytics and simulations. The human body DT has the potential to revolutionize healthcare and wellness, but its responsible and effective implementation requires consideration of various factors. This article presents a comprehensive overview of the current status and future prospects of the human body DT and proposes a five-level roadmap for its development. The roadmap covers the development of various components, such as wearable devices, data collection, data analysis, and decision-making systems. The article also highlights the necessary support, security, cost, and ethical considerations that must be addressed in order to…
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