Real genes. Real science. Your character. Wearable 3D printed model.
Upgrading human DNA is not science fiction — it is already happening in adults today. In alternative jurisdictions like Prospera, medical tourists are actively receiving gene therapies for muscle growth (Follistatin) and blood vessel creation (VEGF). The next decade will bring harder questions about what traits people might choose. Nature already has the code for extreme survival: shark longevity, tardigrade radiation shields, whale DNA repair, axolotl regeneration, and bat immune tolerance.
Materialized Enhancements is an RPG-style character creator for speculative human enhancement. Every gene card cites peer-reviewed papers, shows a tiered evidence grade (T2–T6), and is upfront about contradictions and translational gaps. Spend enhancement credits on real genes from extraordinary organisms, watch your profile light up by category, then materialize the result as a unique 3D-printable artifact and a personal enhancement report.
Developed by the joint GlucoseDAO and Longevity Genie team.
Learn real genetics in a playful way: browse enhancement genes with scientific evidence tiers, peer-reviewed citations, and notes on contradictions — see how they are grouped by biological function, then take home a unique souvenir — a 3D-printable form and a personal report generated from your choices.
We also do a lot of open-source work across personalized genomics, aging research, bio AI agents, glucose prediction, and parametric art. For parametric art and glucose prediction, see Livia Zaharia's work.
The gene list is not complete, and the project is meant to grow. If you found a missing gene, a questionable annotation, a useful paper, or want to collaborate on art, science, education, venues, fabrication, or new generative models, open a GitHub issue or talk to us directly.
Early version — ideas exceed funding and hands. Have a feature request? Open a GitHub issue.
Donations, grants, sponsorships, in-kind support, and volunteers decide how much of this list gets built. Funding a specific feature? Get in touch.
The stack is open source and meant to be extended: we invite other artists to plug their own generative models into the same biological input engine, and we welcome scientists to contribute to the gene list with new papers, new targets, or clearer annotations. The current list is not meant to be complete, so corrections and missing genes are welcome as GitHub issues. Browse the repository on GitHub or open an issue.