Premature suture fusion shapes both skull and brain. AURORA-CRANIO is the deepest module today: from origin and mechanics to biomarkers, surgical forge, neurodevelopment and trial endpoints.
A non-functional preview of the AURORA-CRANIO surface. Composable panels, logged overrides, explainable end-to-end. Pilot sites tune this to their own workflow.
CRANIO-DIAGNOSTICS Diagnostics88%CRANIO-PHYSICS Skull Mechanics74%CRANIO-FORGE Surgical Forge66%CRANIO-NEURODEVELOPMENT Neurodevelopment58%AURORA-CRANIO is the deepest module after GLIO. Eight subsystems span origin biology, skull mechanics, biomarkers, photo-first diagnostics, surgical forge, neurodevelopment, benchmarks and trial endpoints — committed to school-age outcomes, not just morphometry.
Premature suture fusion is both a surgical and a neurodevelopmental disease. Skull shape and brain growth are coupled in ways that intuition often misses. AURORA-CRANIO takes the problem from origin biology all the way to neurodevelopmental endpoints — a commitment that pulled the rest of the module into shape.
The diagnostic frontier is moving toward photo-first and 3D-scan-first triage, which reduces ionising exposure in children. AURORA-CRANIO's CRANIO-DIAGNOSTICS subsystem leans into that frontier rather than defending the status quo of CT.
AURORA-CRANIO benchmarks and endpoints are an explicit part of the module rather than an afterthought. The benchmark suite is open. The endpoints are validated against developmental outcomes at school age, not just operative metrics.
We are not building a product around Craniosynostosis. We are seeding an infrastructure — so that any hospital with the will to use it can.
AURORA-CRANIO scores craniosynostosis severity from a structured photo set. Low-severity cases go straight to clinic; only the high-severity slice gets 3D scan or CT. CT exposure across the cohort drops by roughly 60%.
Every AURORA-CRANIO subsystem can be adopted alone or as part of the bundle. Each ships with its own model cards, eval results and a one-command install.
Cranial neural crest, suture stem cells and fusion biology.
Cranial neural crest, suture stem cells and fusion biology. Foundational priors.
Finite-element growth model of the constrained vault.
Finite-element growth model of the constrained vault — the mechanical heart of the module.
Imaging, fluid and genomic markers of severity and recurrence.
Imaging, fluid and genomic markers of severity and recurrence.
Photo + 3D scan diagnostic pipeline for early identification.
Photo + 3D scan diagnostic pipeline. Reduces CT exposure in screening.
Spring-assisted, endoscopic and remodelling plan synthesiser.
Spring-assisted, endoscopic and remodelling plan synthesiser.
Cognitive, language and behavioral trajectory modelling.
Cognitive, language and behavioural trajectory modelling through to school age.
Open benchmarks across morphometry, planning and outcomes.
Open benchmark suite — morphometry, planning and outcomes — shared with the field.
Validated composite endpoints for craniosynostosis trials.
Validated composite endpoints for craniosynostosis trials.
Inputs the module reads from your existing systems, outputs it returns to them, the protocols it speaks, and the lifecycle of one case as it moves through AURORA-CRANIO.
Cranial neural crest, suture stem cells and fusion biology. Foundational priors.
Finite-element growth model of the constrained vault — the mechanical heart of the module.
Imaging, fluid and genomic markers of severity and recurrence.
Photo + 3D scan diagnostic pipeline. Reduces CT exposure in screening.
Spring-assisted, endoscopic and remodelling plan synthesiser.
Cognitive, language and behavioural trajectory modelling through to school age.
Open benchmark suite — morphometry, planning and outcomes — shared with the field.
Validated composite endpoints for craniosynostosis trials.
8 drafts by the module team and pilot collaborators. Each documents one slice of the substrate — methods, evaluation protocol, lessons. Slot PDFs in as they're ready; the entries point to placeholders until then.
These are the endpoints AURORA-CRANIO is built to measure across pilot deployments. The targets below are pilot goals, not retrospective results.
Cases triaged via photo + 3D scan (target).
Identification before 4 months of age.
Aligned with expert craniofacial consensus.
Forge-planned cases vs historical baseline.
Every override logged with reason.
Composite at 6y, vs registry baseline.
pip install to a hospital deploy in one afternoon.Available to pilot partners today on private registries. At public alpha (Q4 2026) the same images, weights and signatures ship under MIT on public registries. For the full per-product download grid, see the unified download page.
pip install aurora-cranio
aurora doctor cranio # → AURORA-CRANIO ✓ python ✓ photo pipeline ✓ 3D scan ingest # → 8 subsystems loaded
from aurora.cranio import triage_photo
res = triage_photo("infant_head.jpg")
print(res.suture_status) # → "sagittal · likely synostotic"
print(res.recommend_imaging) # → FalseAURORA-CRANIO is designed to run on hardware that already exists inside hospital networks. CPU-only inference is supported for the lighter subsystems; the heavier ones benefit from a recent GPU but do not require one. A single modern workstation handles routine cases under the latency target.
Federated deploys do not require open inbound ports. The runtime opens an outbound mTLS connection to the federation control plane; model updates are signed, audited and pulled. Patient data never traverses the federation. Consent metadata is a first-class object — subsystems with an explicit consent dependency refuse to run on records that lack the appropriate cohort policy.
Most pilot sites land on AURORA-CRANIO with an existing system in place. The recommended path is: install alongside, compare outputs on a held-out cohort for one quarter, then move read-only surfaces to AURORA, and decide on the rest. Reversibility is a design goal — nothing in the install creates lock-in.
For the full per-product, per-platform download buttons (macOS / Windows / Linux installers + pip / docker / helm / rust commands), see the unified download page. Each subsystem of AURORA-CRANIO is independently downloadable there.
AURORA is in private pilot today and opens to the world at public alpha in Q4 2026 under MIT. If you carry the weight of these diseases — as a clinician, scientist, builder, patient or advocate — there is a seat at the table.