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Sturgeon

by UMC Utrecht

AI Application
Low Confidence

Sturgeon is software that classifies tumours of the central nervous system from DNA methylation data while the patient is still in surgery. It is used in a hospital laboratory next to rapid nanopore sequencing of a tumour sample taken in the operating theatre. Its developers at UMC Utrecht say a transfer-learned neural network assigns a molecular tumour class from the sparse methylation profile that a short sequencing run yields, with a score that is updated as more data arrive; in their Nature study it gave a result within 90 minutes in 25 live surgeries, 18 correct and 7 below the confidence threshold. The developers treat scores below 0.8 as inconclusive. The result is read together with the neuropathologist's frozen-section diagnosis, and the neurosurgeon uses it to choose the surgical strategy. Sturgeon runs as a locally installed Python package or binary; no hosting is described. The code is on GitHub under an evaluation licence that bars clinical use without a licence from Cyclomics.

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Transparency Score

Weighted across four pillars · updated October 20, 2026

Overall grade
7% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Cns Tumour Classification
Intraoperative Diagnosis Support
Methylation Profile Analysis
Live Sequencing Classification
Confidence Scoring

Vendor Information

Complete information about the vendor/provider of this AI application

UMC UtrechtView all products →
Universitair Medisch Centrum Utrecht(Trading as: UMC Utrecht)
Contact Information
www.umcutrecht.nl
Registered Address
Heidelberglaan 100, Utrecht, Utrecht, 3584 CX, NL

EU AI Act Provider Information

Verification Status:
Unverified
Universitair Medisch Centrum Utrecht(Trading as: UMC Utrecht)
Heidelberglaan 100, Utrecht, Utrecht, 3584 CX, NL
Compliance & Risk

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Added: October 20, 2026
Updated: October 20, 2026

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