A federated diagnostic mesh on NVIDIA Blackwell GB10. Hospitals collaboratively train and run multi-specialty pathology models — while raw patient data stays inside the sovereign silo. No cloud. No PHI egress. No vendor lock-in.
Gigapixel slides + PHI in someone else's data center means compliance risk, recurring egress cost, and a model you don't control. The Sovereign Fabric inverts that.
Slides + PHI uploaded to a multi-tenant cloud. Per-study egress fees. A black-box model that updates without your sign-off. Network outage = no diagnosis. Audit trail you can't fully see.
Inference + training run on the local Blackwell node. Only encrypted gradient slices cross the Tailscale mesh — never pixels. TPM-signed reports, hash-chained model lineage, and a deterministic safety gate you control. Works fully offline.
From breast oncology morphometrics to the clinical-pathology pillar the image models can't serve — anatomic, clinical, molecular, and beyond.
Tubule + pleomorphism + mitoses assembled into Grade 1–3, pre-graded during background scan.
Per-nucleus phenotyping → infiltrated / excluded / desert from TIL–tumour spatial enrichment.
Star-convex nuclei in dense fields, IHC H-score / HER2 / Ki-67 hotspot auto-selection.
Tumour / stroma / necrosis composition + colorized overlay, cached at scan time.
FFT phase-correlation aligns H&E ↔ IHC so annotations transfer across stains.
Clark-Evans & Ripley's K — clustered / random / dispersed cell architecture.
Gene · alteration · VAF · AMP tier · MSI / TMB extracted from the narrative.
Organism ID + antibiogram (S/I/R) with MDR flagging.
ABO/Rh, DAT, antibody panel, parasitemia quantification.
Full renal-allograft lesion scoring → ABMR / borderline / TCMR classification.
ISHLT rejection grade + valve scoring (calcific / myxomatous / endocarditis).
Cause-of-death chain, manner classification, organ weights, blood-alcohol.
Per-tile scores pooled into a whole-slide probability + attention heatmap.
Calibrated abstention — low-confidence cases routed to human review automatically.
Focus / artifact triage (pass / review / fail) before inference even runs.
One shared Blackwell pool serves pathology, radiology, dermatology, odontology.
Progression / regression vs a patient's priors — grade, TIL, immune phenotype deltas.
Auto-prioritized worklist + cohort analytics across signed cases.
In-VRAM TEE attestation — a peer verifies the enclave before trusting gradients.
Tamper-evident hash chain: diagnosis → model card → validation verdict → attestation.
Every consensus adapter is regression-tested on a golden cohort — auto-rejected on drop.
Per-task AUC EWMA + trend → warning / critical alerts before the hard gate trips.
DICOM WG-26 (QIDO/WADO/STOW/ANN), HL7 ORU, FHIR R4, CAP eCC / NAACCR export.
CI emits a CycloneDX SBOM + software-unit → test matrix for SaMD audit.
GB10 shares a single physical memory pool between CPU and GPU. Naïve vLLM settings reserve 90 %+ of the whole node for idle KV cache. Drag the controls — watch the Sovereign Fabric's right-sizing + idle-reaper reclaim the node in real time.
Illustrative model of the documented tuning in docker-compose.yml + engine_reaper.py.
Default settings reclaim ~50 GB vs. the naïve configuration — with zero change to diagnostic output.
No per-study upload fees. Slides never leave the NVMe array next to the GPU.
A network outage doesn't stop a single diagnosis. The silo is self-sufficient.
Every site's model improves from the network — without any site sharing data.
TPM seals, lineage chain, SBOM, traceability matrix — the SaMD paperwork is generated, not bolted on.
Memory-smart residency means a single GB10 serves pathology + radiology + derm + dental.
Open standards in, open standards out. Your models, your weights, your registry.