NoaMemory
For researchers

Six digital signals, measured in real life

A neurologist sees their patient 15 minutes every 6 months. We observe seven cognitive domains every day, inside a game the person wants to open. The difference is the substrate: the training material is the user’s own life, which turns every game into an ecological measurement impossible to obtain in the clinic.

The framework

Three layers of evidence

1

Clinical instrument of origin

Each signal starts from a construct validated in the literature: composite indices, IIV, recency ratio, error analysis, autobiographical specificity, voice.

2

Published predictive validation

Work showing the construct anticipates decline: variability as an early predictor, the recent-remote gradient, speech markers.

3

The Noa extension

The same construct, measured continuously on personal autobiographical substrate. New statistical objects on published foundations.

The panel

The six signals, in earnest

Global cognitive trajectory

Multi-domain composite index

Aggregated performance across cognitive domains, measured in every game session and tracked longitudinally against the personal baseline.

Intra-individual variability

IIV (MacDonald et al., 2006)

Performance inconsistency across sessions as a signal in its own right, not noise. Continuously, not in quarterly visits.

Recent-remote asymmetry

Ribot’s gradient · Recency Ratio (Bruno et al., 2012-2018)

The balance between recent and remote memory, computed on the user’s own real autobiographical material.

Error patterns

Qualitative error classification

Not just how many mistakes: what shape they take. Omissions, intrusions and confabulations are labelled and tracked separately.

Multi-domain autobiographical memory

Autobiographical specificity (Grilli, 2021)

The richness and specificity of autobiographical recall over time, on the user’s own life story.

Vocal coherence

Acoustic speech biomarkers (~210 features)

Acoustic and linguistic parameters extracted on-device while the user narrates their memories. In production since May 2026.

We also keep a 49-page literature review documenting each signal with its references. We share it with interested researchers: ask us for it.

The dashboard

We won’t just tell you: browse it

A cohort monitor with the six signals in action: 30-day trends, variability, alerts and the methodology explained. What you see is the panel’s full potential; what you don’t see is the exact computation behind each signal, which is our core. Illustrative data, no real patients.

appnoa.ai/insights
Noa Memory Insights dashboard: cohort monitor with the six signals
Open the dashboard
Honesty first

What we have and what we don’t, yet

We have

  • · A six-biomarker pipeline running in production
  • · An onboarding with four mini-games porting validated instruments
  • · A complete pre-registered trial protocol (N=100, 6 months)
  • · Thousands of real sessions with per-task metrics

Not yet

  • · Peer-reviewed efficacy data: the pilot is designed precisely to produce it
  • · Formal clinical collaborations: we want to build them, hence this page
Collaborate

What we offer a clinical group

Interoperability

Data exportable in HL7 FHIR R4, compatible with any hospital system.

Clinical coding

27 ICD-10-CM codes mapped: G31.84 (MCI), G30.x (Alzheimer’s), CPT 97129.

Longitudinal signals

A panel of continuous digital biomarkers, measured in every session, exportable in standard clinical formats.

Proposed pilot

100 patients, 6 months, zero cost for the clinician. Co-authorship of the paper.

Contact us to collaborate