OmniBioTwin: A System-of-Twinned-Systems Framework for Health Digital Twins

📅 2026-06-08
📈 Citations: 0
Influential: 0
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🤖 AI Summary
Current digital twin models in healthcare suffer from fragmented architectures that struggle to balance cross-scale accuracy with system-wide generalizability. To address this, this work proposes a “system-of-systems” digital twin framework featuring a unified, seven-layered, modular, and hierarchical structure. The architecture enables flexible composition and cross-scale coupling of molecular, cellular, and organ-level twins through explicit interaction operators, temporal synchronization mechanisms, and human-in-the-loop decision-making techniques. The feasibility and effectiveness of the proposed framework are demonstrated through a case study on the GLP-1 signaling pathway in Alzheimer’s disease, showcasing its capability for multiscale modeling and seamless system integration.
📝 Abstract
Health digital twins (HDTs) promise patient-specific modeling and decision support but current approaches remain structurally fragmented: monolithic models that address a single organ or task lack cross-scale fidelity, while system-level twins lack generalizable architectural frameworks. We propose OmniBioTwin, a System-of-Twinned-Systems (SoTS) framework that organizes HDTs as modular computational entities coupled through explicit interaction operators within a multi-layer network architecture. The framework comprises seven coordinated layers - spanning data integration, autonomous twin modeling, cross-scale coupling, temporal synchronization, and human-in-the-loop decision support. We demonstrate OmniBioTwin by instantiating a multiscale twin for glucagon-like peptide-1 (GLP-1) signaling pathways in Alzheimer's disease, illustrating how molecular, cellular, and organ-level twins can be composed and coupled within a unified system.
Problem

Research questions and friction points this paper is trying to address.

Health Digital Twins
Structural Fragmentation
Cross-scale Fidelity
Architectural Framework
System-level Modeling
Innovation

Methods, ideas, or system contributions that make the work stand out.

System-of-Twinned-Systems
Health Digital Twins
Multiscale Modeling
Modular Architecture
Cross-scale Coupling
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