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

arXiv: https://arxiv.org/abs/2606.11264 · HTML: https://mlsanity.com/paper/2606.11264/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 38 references that are in the map.
- First posted on arXiv 9 Jun 2026.

## Builds on (most cited first, 2 of 2)

- [Multilayer Networks](https://mlsanity.com/paper/1309.7233/) (2013)
- [Systems of Twinned Systems: A Systematic Literature Review](https://mlsanity.com/paper/2505.19916/) (2025)

## Abstract (arXiv)

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.