Nael Ross Ells

Cancer care is reactive, fragmented, and inefficient. Most cancers are detected too late. Incentives reward procedures, not outcomes. Risk is poorly quantified across populations. Data exists, but remains siloed and underused. The Solution Computer-Implemented Systems and Methods for Risk-Adjusted, Outcome-Weighted Incentive Allocation in Oncology In plain terms: Our program quantifies cancer risk earlier, weighs decisions by outcome impact, aligns incentives around prevention and detection, and guides smarter allocation of care resources. How It Works A closed-loop, outcome-driven system: 1. Ingest clinical, demographic, and risk data 2. Apply risk-adjusted modeling 3. Weight actions by outcome effectiveness 4. Recommend detection, prevention, or care pathways 5. Track outcomes and continuously refine models Every decision improves the next one. What Makes This Different Omphalos is not just predictive. • Outcome-weighted, not prediction-only • Incentive-aware system design • Built for prevention and care • Designed to integrate into real clinical workflows • Mission-first, not profit-first This is systems-level change, not another dashboard. Who It Serves Primary beneficiaries: • Patients — earlier detection, better outcomes • Clinicians — decision support, not replacement • Health systems — efficiency and cost reduction • Researchers — validated, outcome-linked data Better decisions upstream change everything downstream. Impact & Scale Potential impact at scale: • Earlier detection → higher survival rates • Smarter allocation → lower systemic costs • Applicable across cancer types and population • Scalable from pilot programs to national systems Small improvements upstream produce massive downstream effects. Current Progress Omphalos is actively being built. • Patented System architecture defined • Software development underway • Advisory discussions initiated • Omphalos Foundation established to steward the work The Model A mission-first structure designed for longevity. • Omphalos Foundation develops and governs the system • Deployed through partnerships, grants, and pilots • Long-term sustainability without compromising mission • Technology guided by ethics, outcomes, and transparency Use of Funds Funds support: • Software development and infrastructure • Risk and outcome modeling • Clinical and research partnerships • Pilot program implementation • Foundation operations and governance. 12–24 month goals: • Functional system prototype • Pilot deployments • Validated outcome data Join us in building the future of cancer detection and care