In the United States, 37 million adults have Chronic Kidney Disease — and 90% don't know it. Meanwhile, 80% of rural America lives in healthcare deserts where pharmacies are closing and diagnostic services are hours away. The infrastructure to move goods electrically exists. The AI to optimize it exists. What's missing is the architecture connecting them to the communities that need it most.
This talk bridges two worlds I've spent 19 years building: AI-optimized delivery infrastructure serving 240+ million Americans weekly, and healthcare AI systems designed to reach underserved populations before disease progresses.
I'll share:

How electric last-mile networks can extend beyond retail — using the same infrastructure moving consumer goods to deliver prescriptions, diagnostics, and time-critical medical supplies
AI orchestration patterns that optimize electric fleet routing for healthcare-specific constraints: temperature sensitivity, delivery windows, chain-of-custody requirements
Privacy-preserving approaches (federated learning, differential privacy) that enable population health insights without compromising patient data
Real deployment lessons from building systems where reliability isn't a metric — it's a requirement

This isn't theory. I've published peer-reviewed research on AI-enabled disease detection in underserved communities and built production infrastructure where tens of millions of daily transactions depend on zero-latency, fault-tolerant systems.
The electrification of transportation is inevitable. The question is: who benefits? This talk offers a practical roadmap for ensuring electric delivery infrastructure doesn't just serve affluent zip codes — it closes the access gap for the communities traditional systems have failed.