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). But what happens in ten years as we unlock harder-to-implement targets to shape "The New Human"? Nature already has the code for extreme survival: shark longevity, tardigrade radiation shields, and axolotl regeneration.
Materialized Enhancements turns this impending synthetic biology into participatory artwork. You select desired "enhancement genes" through the interface. Those selections, combined with a personal digital signature, are the exact inputs to a generative algorithm. The result is a single, unrepeatable 3D form — ready for 3D printing.
Started at CODAME ART+TECH 『 The New Human 』 in Milano, now developed by the joint GlucoseDAO and Longevity Genie team.
We want you to learn a little genetics in a playful way: browse real enhancement genes, see how they are grouped, then take home a souvenir — a unique 3D-printable form and a printable enhancement 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.
In the next tab, pick categories and genes, then run the generator to materialize your piece.
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.