Blog

The case for patient-controlled rare disease data across science, policy, and the lived experience.

RegulatoryCompanyHistoryPatient ExperienceScience & DataData SovereigntyVision
Company

Our Founder

Nina Kilbride on building Cureledger since 2015: financial-grade rare disease data marketplaces, AI that can finally use longitudinal patient data, and privacy as core design.

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History

The Data That Saves: How Robert Guthrie Built the Infrastructure for a Cure

In 1960, a microbiologist solved two problems at once: detecting PKU and collecting the specimen from every newborn, everywhere, without requiring infrastructure most families would never access. We named our platform after him.

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Patient Experience

What "Best Case" Looks Like in Rare Disease

PKU has newborn screening, a known treatment, and decades of research. The care is still rudimentary. This is what the lucky ones get.

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Science & Data

From N-of-1 to Engine of Cures

PKU made newborn screening because of a technical accident. For the other 7,000 diseases, we need infrastructure, not luck.

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Science & Data

Small Datasets Are Not Small When They Are Dense

A single patient logging daily produces more data than most clinical trials. The problem is not rarity; it is instrumentation.

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Data Sovereignty

You Are Not a Subject

Today your daily lived experience goes unrecorded. Cureledger makes you contributor, owner, and beneficiary simultaneously.

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Regulatory

The FDA Is Ready. The Infrastructure Is Not.

The regulatory architecture for N-of-1 therapeutics exists. What's missing is the patient-side data to feed it.

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Vision

Cures, Not Management

Drug development rewards chronic conditions. Rare disease got left behind. But when the data is structured, a cure is an engineering problem.

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Data Sovereignty

We Are Not 23andMe

When 23andMe went bankrupt, patient data went with it. Cureledger is built so that can never happen.

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Regulatory

The Regulatory Landscape Is Finally Ready

Frameworks for small-population trials, patient-generated evidence, and AI-driven pattern recognition now exist. The infrastructure to feed them does not.

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Data Sovereignty

Henrietta Lacks at Scale

AI drug discovery is about to make patient data the most valuable raw material in medicine. Without ownership infrastructure, that is extraction, not innovation.

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