SpineDAO
Curated
DAORevolutionizing spine care for millions worldwide. By leveraging blockchain, AI, and collaborative decentralized science, SpineDAO creates an open platform for optimizing surgical decisions, improving patient outcomes, and democratizing access to spine knowledge.
500M+ people suffer from spine-related conditions, making them one of the leading causes of disability and lost productivity across the globe.
$14 Billion
Estimated spine care market by 2031
500 Million+
People worldwide suffering from spine-related conditions
<$90 Million
NIH Budget for degenerative spine disease research between 2011 and 2021
Project
Additional Documentation
Spine care remains one of the most challenging and resource-intensive fields in modern healthcare. Spinal disorders, including degenerative diseases, deformities, trauma, and chronic back pain, represent a significant burden on healthcare systems worldwide. According to global health reports, over 540 million people suffer from spine-related conditions. The prevalence of conditions like osteoporosis, arthritis, herniated discs, and scoliosis is increasing due to aging populations, sedentary lifestyles and rising obesity rates.
Despite advancements in medical technologies and surgical techniques, spine care faces systemic inefficiencies that hinder optimal outcomes. These challenges include poor patient triage, inconsistent surgical strategies, fragmented post-operative follow-ups, and limited access to shared scientific knowledge. Furthermore, the siloed nature of healthcare data limits the potential of AI and machine learning algorithms to deliver impactful insights. This fragmented approach not only delays treatment but also results in significant financial and emotional costs for patients.
SpineDAO emerges as a decentralized science (DeSci) initiative designed to address the critical pain points in spine care. By leveraging decentralized technologies, AI, and a collaborative ecosystem of surgeons, researchers and patients, SpineDAO aims to create scalable, transparent, and efficient spinal solutions. Through its decentralized model, SpineDAO empowers stakeholders across the healthcare value chain to contribute, share, and benefit from data-driven innovations.
Additional Documentation
Spine care remains one of the most challenging and resource-intensive fields in modern healthcare. Spinal disorders, including degenerative diseases, deformities, trauma, and chronic back pain, represent a significant burden on healthcare systems worldwide. According to global health reports, over 540 million people suffer from spine-related conditions. The prevalence of conditions like osteoporosis, arthritis, herniated discs, and scoliosis is increasing due to aging populations, sedentary lifestyles and rising obesity rates.
Despite advancements in medical technologies and surgical techniques, spine care faces systemic inefficiencies that hinder optimal outcomes. These challenges include poor patient triage, inconsistent surgical strategies, fragmented post-operative follow-ups, and limited access to shared scientific knowledge. Furthermore, the siloed nature of healthcare data limits the potential of AI and machine learning algorithms to deliver impactful insights. This fragmented approach not only delays treatment but also results in significant financial and emotional costs for patients.
SpineDAO emerges as a decentralized science (DeSci) initiative designed to address the critical pain points in spine care. By leveraging decentralized technologies, AI, and a collaborative ecosystem of surgeons, researchers and patients, SpineDAO aims to create scalable, transparent, and efficient spinal solutions. Through its decentralized model, SpineDAO empowers stakeholders across the healthcare value chain to contribute, share, and benefit from data-driven innovations.
Dr. Bassel Diebo
Dr. Bassel Diebo, fellowship-trained spine surgeon and Director of Spine Research at Brown University, specializes in complex spinal reconstruction, scoliosis, and posture alignment. With 250+ publications and global recognition, he’s a leading authority in spinal surgery innovation.
VECTOR SFCR 2026 — 2nd Prize Best Scientific Communication COMPLETED
Prospective multicenter validation of VECTOR AI triage algorithm presented at SFCR national congress (Marseille, June 11–13). Awarded 2nd prize best scientific communication. Multicenter study ongoing (500 patients, IRB-SOFCOT 21-2025)
Lamina Clinical AI Companion — VivaTech 2026 Demo COMPLETED
Lamina reached MVP production-hardening milestone. Presented at VivaTech 2026 (AI Factory France, June 19) alongside Virginie Lafage, pleias team. Four validated clinical modules: Triage & Referral, Follow-up Companion, Agentic Chat, Living Profile.
TLIF-BAYES — Bayesian Multicenter Enrollment
Bayesian hierarchical multicenter retrospective trial comparing Open TLIF vs MIS-TLIF vs Endoscopic TLIF. 766 patients enrolled to date. Target: 600 (primary), 1,000 (pseudarthrosis sub-study). PI Dr. Anton Denisov; 13 SRC contributors.
VECTOR Commercialisation Launch
SaaS go-to-market for AI triage in spine clinics. Post-SFCR award validation; waitlist + demo pipeline active.
Lamina Clinic Deployment Pipeline
Production-hardened MVP ready for first clinical deployments. Partnership with pleias.
RADICULAR Track 2 — Molecule.xyz IP Asset
On-chain IP provenance for radicular peptide program. PeptAI partnership active.
Track 2 Radicular — PeptAI Analog Engineering Pipeline
Non-sedating peptide analgesic program for lumbosacral radiculopathy. Engineered analogs of α2δ-1 decoy peptide (Chen et al. 2018). Computational candidate library → in vitro target engagement → in vivo efficacy vs gabapentinoid. PeptAI collaboration confirmed.
The global burden of low back pain: estimates from the Global Burden of Disease Study 2017
https://sciencedirect.com/science/article/abs/pii/S0140673619311250
Sagittal imbalance and spinal deformity: pathophysiology and radiographic classification
https://pubmed.ncbi.nlm.nih.gov/28234773
Risk Factors for Poor Outcomes in Spinal Deformity Surgery
https://sciencedirect.com/science/article/pii/S2666548424002555
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