Decentralized Clinical Trials Will Expose That 60% of Traditional Trial Failures Are Logistics Failures, Not Drug Failures
The clinical trial system is a machine for destroying good drugs through bad logistics.
80% of trials fail to enroll on time. Average patient travel: 2+ hours each way. Dropout rates: 30%. Site monitoring costs: $50K+ per site per year. We've built a system that selects for drugs that work in the small subset of patients who can physically show up to academic medical centers repeatedly for years.
Decentralized clinical trials (DCTs) using wearables, telemedicine, and home lab kits are shattering these constraints. Science 37 showed 3x faster enrollment. Medable's platform reduced site visits by 70%. The REMOTE trial demonstrated full remote execution for a dermatology study.
Here's the hypothesis that should terrify pharma: many drugs that 'failed' Phase II/III actually worked — they failed because of selection bias in enrollment, dropout-driven power loss, and site variability. If you re-ran the same molecules with DCT infrastructure and proper retention, a meaningful fraction would succeed.
The mechanism: traditional trials are underpowered not by design but by execution. If your trial needs 500 patients to show significance and 150 drop out, your p-value evaporates. That's not a drug failure — it's an infrastructure failure.
Testable prediction: Re-running 10 drugs that failed Phase III by <0.05 p-value margin using fully decentralized protocols with >90% retention will rescue at least 3-4 of them with statistical significance.
DeSci infrastructure — tokenized participant incentives, blockchain-verified endpoints, patient-owned data — could make this economically viable.
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