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FIX USA PLAN / HEALTH RESEARCH

Three research missions.
One evidence engine.

Cancer, Celiac disease, and Alzheimer’s & dementia move forward as distinct programs, connected by the same standards: evidence, negative results, falsifiers, decisive experiments, prevention, and transparent limits.

Promise vs. ProofNegative evidenceDecisive experimentsPublic-safe updates

Research information only. Not medical advice, diagnosis, or a claim that a cure has been discovered.

3flagship missions
1evidence standard
∞questions challenged
0private grant/IP details exposed
01 / CANCERLIVE EVIDENCE PLATFORM

Cancer Discoveries

Verified discoveries, trials, FDA approvals, source integrity, negative evidence, and research directions—without pretending early signals are cures.

Open Cancer Discoveries →
02 / CELIAC DISEASEPUBLIC RESEARCH HUB

Celiac research

Five questions worth testing, supporting evidence, negative findings, models, datasets, and an invitation for scientific criticism.

Explore Celiac research →
03 / ALZHEIMER’S & DEMENTIAPUBLIC-SAFE OVERVIEW

Alzheimer’s & dementia

Subtype distinctions, prevention and interception, resilience, biomarker-versus-function limits, negative evidence, and decisive experiments.

Explore Alzheimer’s & dementia →

HOW THE ENGINE MOVES

Research should move, not pile up.

01Find the frontierWhat is still unresolved?
02Challenge itWhat failed or contradicts it?
03Design the testWhat result would change our mind?
04Publish safelyShare what is useful; protect grants, IP and confidential work.

Public by default for the three missions. Private where it matters.

These three research surfaces are standing public programs and should keep receiving public-safe updates. We do not publish confidential correspondence, grant strategy, controlled data, unpublished invention-level mechanics, proprietary implementation, or unreviewed hypotheses that could create scientific, legal, IP, or application risk.

Where a dedicated evidence platform already exists, Fix USA Plan links to it rather than duplicating the research corpus.