The model behind the check

About AURORA

AURORAAlzheimer's Unified Representation for Omni-modal Risk Analysis — is a multimodal research model for Alzheimer's disease analysis. It combines clinical information with MRI-based information to identify patterns associated with Alzheimer's disease.

How it's built

Two data streams, one prediction

A tabular pathway (gradient-boosted trees over clinical and neuropsych scores) and an imaging pathway (EfficientNetB1 over MRI slices) are combined by weighted late fusion, producing a CN / MCI / AD classification with probabilities.

Trained on ADNI

Training used the Alzheimer's Disease Neuroimaging Initiative dataset — real patient MRIs and clinical records, the same source used widely in Alzheimer's research.

Lightweight by design

EfficientNetB1 was chosen so the imaging pathway runs on ordinary CPU hardware rather than requiring a dedicated GPU.

Honest limitations

AURORA and the memory check are different things

The at-home memory check does not run through AURORA. The check uses simple, transparent scoring of the questions and tasks you complete — because AURORA expects standardised scores administered by a clinician (MMSE, MoCA, Trail Making, and similar), and feeding it self-administered answers would produce a number nobody has validated.

The AURORA analysis is available separately, for people who already have clinical test results from a doctor and want to explore what a multimodal model makes of them.

Open the AURORA research tool →