Note: The present work has been deposited on Zenodo, HAL (technical record for timestamp), and Archive.org. Copyright protection has been registered in several countries. These deposits establish proof of authorship and priority. Please cite accordingly + peer review in progress. Thank you for your understanding :-) Key words: Quantum Biology, Synthetic Biology, Biomathematics, Bioinformatics, Information Theory, Genetic Code, Combinatorics, Invariants, Codons, DNA, Atoms, Numerical Scales, Mathematical Constants, Discrete Mathematics, Astrobiology, Exobiology. Abstract: After several years of research, I am completing the Meta-Genesis cycle — Toward a Biology Without Matter, Based on Pure Logic — a work in which I identified a sequence of numerical invariants linking the chemistry of the stars to molecular biology, thanks to a mathematical lens (one equation), a change of dimensional perspective similar to that of the Square in Flatland discovering the existence of cubes, or to the conceptual transition from the circle to the Bloch sphere in quantum physics.This sequence spans every scale:→ the stars (where the CHON elements — carbon, hydrogen, oxygen, and nitrogen — are born),→ the nucleic acids (adenine, guanine, thymine, and cytosine),→ the theoretical duplets proposed by Francis Crick,→ the triplet codons,→ up to a hypothetical quaternary code,→ but also the amino acids, and even viruses and alternative systems considered in exobiology(silicon, phosphorus, sulfur).The same constants reappear at every level — as if life were written in the same mathematical grammar as the matter from which it arose.That’s what I call: A Unified Theory of Biological Information — From Stars to Codons.Building on the work of Turing, von Neumann, and Shannon, I have mathematically demonstrated that the genetic code behaves as a universal logical automaton — a system that self-organizes from its own syntax. From stars to codons, life computes its own coherence — and life is, above all, information before it is chemistry. Even better, they made it possible to establish predictions regarding a hypothetical quaternary genetic code, later confirmed experimentally, as well as predictions involving amino acid and protein combinations. Remarkably, the same invariant patterns also emerge in silicon–phosphorus–sulfur combinations, with a difference of only about 2%, suggesting a broader chemical universality. These findings open the way to new applications in synthetic biology, but also in exobiology, where they may serve as a powerful tool for modeling and detecting alternative forms of life. Complete Primary Data, Computational Materials and Bibliography Kayser-Cuny, V. (2025). (Part 1) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis. Zenodo. https://doi.org/10.5281/zenodo.17068843 Kayser-Cuny, V. (2025). (Part 2) Multiscale Numerical Invariants and Fractal Properties of the Genetic Code: Internal Constraints and Multiscale Packet Distributions Revealing a Universal Grammar. Zenodo. https://doi.org/10.5281/zenodo.17272500 Kayser-Cuny, V. (2025). (Part IV-part 3) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: A Unified Theory of Biological Information, from Stars to Codons. Zenodo. https://doi.org/10.5281/zenodo.17370443 Kayser-Cuny, V. (2025). (Part VI-part 3) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: Data Availability [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17306204 Kayser-Cuny, V. (2025). Data Availability Part 2 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17368936 Kayser-Cuny, V. (2025). (Part III) The Mirror-Twin Paradox: A New Approach to DNA Understanding the Implications of an Inverted Genome and Its Applications in Molecular Genetics, Neuroscience, and Medicine. Zenodo. https://doi.org/10.5281/zenodo.15390489 The author 2023: Elected Fellow of the Linnean Society of London (Biology);2023: Elected Fellow of the Royal Anthropological Institute of Great Britain and Ireland;2024: Elected Full Member of the Genetics Society;2025: Affiliate Member of the Royal Society of Chemistry. Dipl. in molecular genetics, with specialization in particle physics, paleogenetics/evolutionary genetics, and astro/exobiology. Accepted for 2026 in a post-graduate program in molecular cytogenetics at a medical school. Academic and research trajectory spanning Canada, the United States, France, and Switzerland (Educational Outreach Internship at CERN, 2018).