Health Galaxy: A Multi-organ Trajectory-Computing Framework in Type 2 Diabetes

Health research is shifting from isolated risk snapshots toward longitudinal, multimodal representations of disease. In type 2 diabetes, patients with comparable glycemic control may follow sharply divergent renal, cardiovascular, hepatic, and neurocognitive courses-heterogeneity that single-endpoint, single-window risk models cannot resolve. Here, we propose the Health Galaxy, a state-space framework that represents each individual by multi-organ position and direction of motion over time, integrating organ-aging clocks, cross-organ coupling, and trajectory-aware generative modeling. We operationalize this framework through 3 falsifiable structural units-clusters, channels, and hubs-that can be tested for reproducibility across cohorts and modalities. The framework reframes intervention as trajectory rerouting rather than marker reduction, with type 2 diabetes as a tractable first test case.