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AURORA-NEURO · Developer documentation

Documentation

AURORA-NEURO is a family of computational research platforms for glioma — 70 products across seven sub-families, plus the tooling that runs the org.

Everything is Research Use Only and non-autonomous: it supports research and clinician decision-making, and never diagnoses, treats, or acts on a patient by itself. Start here, then dive into a domain or a specific product.

73
Products
6
Clinical domains
247
Doc pages
RUO
Non-autonomous

New here?

Domains

The shared design philosophy

Every platform follows the same house style. Understanding these five ideas explains almost any repo.

  1. 01 Non-autonomy as an invariant The RUO posture is encoded in the type system, not bolted on at the end. RUO & non-autonomy →
  2. 02 A governance chokepoint Every result passes the fail-closed guardEmission gate before it can be emitted. guardEmission →
  3. 03 Tamper-evident audit Governed actions are recorded in a hash-chained audit ledger. The audit ledger →
  4. 04 Honest provenance ADR-0001 forbids fabricated data; SYNTHETIC vs REAL is always labeled. Provenance & ADR-0001 →
  5. 05 A governance / numerics split A small TypeScript governance core sits in front of a Python numerics sidecar. The split →
Run any repo

Every repo installs and verifies the same way. The gates are the source of truth — a red CI badge is the org-wide Actions billing block, not a code failure.

gh repo clone aurora-neuro/<repo>
pip install -e ".[dev]"
ruff check . && mypy <package>
pytest -q
Run the gates →
Get help

Ask questions, find a repo owner, and follow release digests in the org Discord. Governance questions and PR reviews are routed there by the ops bot.

Invite link pending — see the ops bot page.

Terms of access · Developer documentation

Research Use Only, and non-autonomous by design.

These pages document research software. No AURORA-NEURO platform is a medical device, and none of them diagnose, treat, or act on a patient by itself — every governed result passes a fail-closed emission gate with a qualified human in the loop.

Metrics, gates, and data provenance are reported only where the org snapshot carries them, and synthetic data is always labelled. Nothing here is clinical guidance or a basis for a care decision.

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