• Quantitative dynamics define early systems biology: kinetic measurements of fast reactions, catalytic dehydrogenations, and rapid decay phenomena provided a common toolkit for modeling biochemical systems [1], [10], [13], [16].

• Physicochemical systems frame biology as integrated networks of transport, energetics, and matter exchange, linking blood chemistry, general physiology, and physical biology under a shared mechanistic lens [2], [6], [17], [18].

• Cellular ecosystems and immune-pathological states emerge from interacting components: white blood cell transformation, macrophage/fibroblast roles, autolysis, and granulomatous diseases [5], [7], [9], [12], [15].

• Theoretical biology and mathematical formalisms codify component interactions and evolution, using selection theories, binary-system methods, and phase-like diagrams as abstract models of biology [4], [11], [14], [20].

• Population-level system views emerge from biometrics and inheritance studies: biometric parent-offspring relations, selection and mutation, and theoretical biology framing coevolution [3], [11], [14].