Toward a Biological Rubin Observatory: Why Theory Must Precede Pattern Detection in Dynamic Medicine

This conceptual note proposes the idea of a “Biological Rubin Observatory” as a theory-guided framework for organizing biomedical observations across literature, datasets, and clinical trajectories. Inspired by the Vera C. Rubin Observatory’s repeated observation of the sky over time, the paper argues that biology also requires a way to observe movement, change, drift, instability, recovery, and phase-dependent transitions. The central argument is that large-scale biological data integration cannot begin with pattern detection alone. Before observations can be meaningfully organized, a theory is needed that defines what kind of biological movement is expected to be visible. The proposed sequence is therefore: first theory, then observation, then pattern detection, and finally empirical and clinical testing. The Universal Resonance Model (URM) is discussed not as an established or final theory of biology, but as a possible conceptual grammar for reading disease as movement over time. In this framework, contradictions in the biomedical literature may sometimes reflect not only methodological inconsistency, but also different observations of dynamic biological systems captured at different phases. This paper is intended as a conceptual note and preprint. It does not present a systematic review or empirical validation, but formulates a theoretical starting point for dynamic medicine, biomedical knowledge synthesis, and future theory-guided pattern detection.