Adaptive Neurovascular Assembly: Probability-Enriched Module Selection and Permissive Scaffold Guidance without Forced Connection

Abstract

Exact mechanical docking can reduce geometric error, but it cannot guarantee endothelial continuity, stable perfusion, axonal crossing, myelination, synaptic integration, or safe electrical function. Excessive fixation may instead create compression, inflammation, thrombosis, mismatch, and dependence on artificial support. This Version 2 proposal replaces forced docking with probability-enriched modular assembly. Large batches of candidate neurovascular modules are produced in parallel and characterized before deployment using measurements of internal perfusability, endothelial barrier quality, oxygen support, vascular topology, viability, neural phenotype, and electrophysiological stability. A locked selection rule identifies multiple qualified modules rather than one presumed optimal component. The selected modules are positioned within a soft, anisotropic, degradable scaffold containing several permissible corridors. The scaffold constrains distance and direction but does not prescribe a single final microscopic route. Vessels and axons are allowed to explore, connect, prune, and stabilize viable routes. The primary hypothesis is that a redundant set of prequalified modules placed in a permissive multiroute scaffold will produce a higher probability of stable vascular continuity and persistent neural conduction than unselected modules, a single selected module, forced exact docking, or unguided placement. This is an open, falsifiable, and unvalidated preclinical research hypothesis. It is not a clinical treatment, medical advice, surgical protocol, manufacturing specification, safety or efficacy claim, world-first claim, or patentability claim.