NOTE

NOTE: Please read the manuscript in github. I also linked a demo you should check out! ##100–200-word summary: I built HumanVector, an auditable system that reframes biological age as coordinates rather than a single score. Starting with ECGs, I trained four independent neural age clocks on the distinct electrical phases of the heartbeat. These were compressed into a shared aging axis and a disagreement radius, with the entire geometry frozen before any outcomes were examined. I then applied the same coordinate framework across six organ systems in NHANES, brain MRI, 1,227 whole-body CT scans with 115 segmented structures, physical movement, and regulatory genomics, creating an interactive HumanVector Atlas for exploration. In a locked test of 74,715 people, the disagreement radius did not predict mortality. This informative null redirected the investigation. Using randomized drug challenge data, I identified a stable direction of electrical recovery. The direction was defined by dofetilide, independently supported by quinidine, and when frozen and transported to 44,550 external ECGs, it added meaningful information about delayed recovery beyond conventional measurements. Cross-scale analyses showed that shared aging signals consistently tracked outcomes, while disagreement effects varied by biological scale. A volume-only CT model estimated age within 8.56 years on average, with the strongest unique contribution coming from the aorta. Most biological-age tools collapse complex physiology into one number and lose critical information about direction and disagreement. HumanVector shows that biological age can be decomposed into interpretable coordinates, that honest null results can productively guide discovery, and that the same framework scales across multiple biological levels. The HumanVector Atlas makes these findings transparent and explorable through real data and interactive 3D anatomy. This provides a practical blueprint for building explainable, multi-scale models of human aging that preserve both discoveries and informative negatives.