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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0498Certified recordPeer-reviewed

A Technological Review of Digital Twins and Artificial Intelligence for Personalized and Predictive Healthcare

Digital transformation is reshaping the healthcare field by streamlining diagnostic workflows and improving disease management. Within this transformation, Digital Twins (DTs), which are virtual representations of physical systems continuously updated by real-world data, stand out for their ability to capture the complexity of human physiology and behavior. When coupled with Artificial Intelligence (AI), DTs enable data-driven experimentation, precise diagnostic support, and predictive modeling without posing di…

Health · The Trace — both readings · certified 2026-07-22 · v1 · article view · machine-readable

Current reading — gain

AI-augmented Digital Twins streamline diagnostic workflows and improve disease management by enabling data-driven experimentation and predictive modeling without direct risk to patients

Current reading — problem

Integration of AI-augmented Digital Twins into healthcare requires addressing ethical, regulatory, safety, privacy, clinical validation and scalability constraints due to sensitive nonlinear human data

What this doesn’t fix

Integration is constrained by ethical, regulatory, safety, privacy, validation and scalability issues linked to sensitive nonlinear human data

Evidence

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Truvace Impact Record TRV-2026-0498, v1: “A Technological Review of Digital Twins and Artificial Intelligence for Personalized and Predictive Healthcare.” Truvace, 2026-07-22. /record/TRV-2026-0498 (accessed at citation time). sha256 d2f925433b508359…

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