Dual-Field Vascular Guidance: A Physical-AI Framework for Spatially Coupled Demand and Stabilization Microenvironments

Abstract

This proposal translates the conceptual distinction between a “rescue-demand field” and a “developed-support field” into measurable vascular microenvironments. A spatially separated demand field supplies calibrated angiogenic and injury-like cues that initiate vascular exploration. A developed support field supplies perfusion-compatible, barrier-promoting, and maturation-supporting conditions. An anisotropic permissive corridor connects the two while allowing several candidate vascular routes rather than prescribing one final microscopic path. The primary hypothesis is that spatially separated but coupled demand and support fields will increase the probability of persistent, perfusable, low-leakage vascular connections compared with either field alone, a uniform mixture, or geometry-only guidance. The proposal defines a microfluidic comparison experiment, experimental groups, functional measurements, a physical-AI discovery and locked-confirmation workflow, safety gates, and explicit falsification conditions. Individual components have prior experimental precedents. Their integration into spatially separated demand and stabilization fields with multiroute guidance and closed-loop optimization is presented as a novelty candidate, not as a verified world-first or priority claim. This is an open, falsifiable, and unvalidated preclinical research hypothesis. It is not a clinical treatment, medical advice, surgical or manufacturing protocol, proof of safety or efficacy, world-first claim, or patentability claim.