# Spinal injury

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Tien-chen Lin](https://cerebralvalley.ai/u/tclin)
- **GitHub:** https://github.com/darkbreaker0/ClaudeScienceHackthon2026_SpinalInjury
- **Demo video:** https://youtu.be/e1BheOL0ylw
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/93

Globally, over 15 million people are living with spinal cord injury. We built a cross-species contrast to surface CNS-regeneration targets the field has overlooked: spinal-cord and appendage regeneration in three regeneration-competent species against mammalian injury, compared at the human-ortholog level. From a 1,034-dataset catalog we derived a 587-gene "competent-not-in-mammal" signature, scored 123 candidate targets, and annotated each for druggability. A from-scratch physics and control-theory engine adds what a differential-expression list cannot: causal direction, and evidence that no single perturbation reaches a four-way cocktail ceiling — so the robust targets are convergent downstream effectors (19 of 73 druggable now).

The shipped ranking is what survived our own engine attacking it twice. Its first pick (MATK #1) was a near-zero-baseline artifact; a Claude self-audit caught it and re-ranked to COL9A1, which then held across five orthogonal axes — all directional and nominal, hypothesis not proof. It matters because it is reproducible, uses public data and APIs only, and every number opens to an artifact others can build on: a prioritized, falsifiable hypothesis set.

---

Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/93. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt