{"artifact_id":"L1-904","layer":"L1","title":"Regeneration & Anti-Fibrosis","domain":"Regenerative Medicine","sub_domain":"Morphogenesis","physics_fingerprint":{"intro":"Some animals regrow limbs and hearts; humans mostly scar. Whether injured tissue regenerates or fibroses is decided by morphogen and ECM dynamics. Steering those fields toward regeneration — and away from fibrosis — would transform medicine.","title":"Regeneration & Anti-Fibrosis","domain":"Regenerative Medicine","chapter":"Ch.13 Life Sciences & Aging","why_hard":"Outcomes depend on spatially-patterned signaling over time; the same molecule can heal or scar depending on dose and timing; in-vivo control is limited.","agent_idea":"An agent that prescribes spatiotemporal signaling interventions to maximize regeneration for a given injury.","approaches":["Neural emulators of reaction–diffusion morphogen fields","Optimal control of morphogen / timing inputs toward a regenerative fixed point","Spatial-omics models that predict scar vs repair"],"sub_domain":"Morphogenesis","forward_model":"Reaction–diffusion morphogens coupled to a TGF-β/ECM fibrosis ODE: ∂u/∂t = D∇²u + f(u,v); fibrotic vs regenerative fixed point set by the control field.","benchmark_goal":"Predict the functional tissue fraction restored (vs fibrotic scar) from post-injury morphogen/ECM fields under control inputs.","challenge_blurb":"Steer wounded tissue toward regeneration instead of scar — control the morphogen / ECM dynamics that decide fibrosis vs repair.","challenge_group":"life","challenge_short":"Regeneration","grand_challenge":true,"governing_equation":"∂u/∂t = D_u∇²u + f(u,v);  ∂[ECM]/∂t = k_p·TGFβ − k_d·[ECM]"},"observable_profile":{"unit":"functional tissue fraction restored","floor":0.5,"metric":"func_fraction","sota_reference":"Axolotl/zebrafish regeneration & anti-fibrotic (pirfenidone) models"},"size_tiers":{"grid":[64,256,1024],"morphogens":[2,5,20]},"hardness_fn":{"type":"grand_challenge","metric":"func_fraction","baseline":"Logistic scar-vs-repair classifier","delta_tier":50},"initiator_dataset":[{"name":"Axolotl limb-regeneration spatial transcriptomics","weight":0.5,"ipfs_cid":null,"license_hash":null},{"name":"Cardiac-fibrosis scar-vs-repair atlas","weight":0.3,"ipfs_cid":null,"license_hash":null},{"name":"Wound-healing morphogen time-lapse","weight":0.2,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":5000.0,"chain_hash":null,"chain_tx_hash":null,"chain_block":null,"wp":{},"plain_intro":"Regeneration & Anti-Fibrosis (Morphogenesis) is a problem in Regenerative Medicine. The forward model maps the hidden the unknown quantity to a measurement. The inverse goal is to recover the the unknown quantity from the observed data."}