The problem
Results without context.
Most health assessments are captured as single points in time. Read in isolation, they can miss the trajectory: what is changing, how fast and from what baseline.
EDDS · Early Disease Detection System
Biology, over time.
An AI-assisted platform being developed to organize and interpret biological information longitudinally, so meaningful change is easier to see.
In development · Not clinically validated
The product
EDDS on a device.
Four screens, one journey: from a new result to a clear finding.
Ingestion screen
History screen
Analysis screen
Findings screen
The concept
Longitudinal biological intelligence.
Biological understanding improves when information is organized over time, compared against a relevant baseline and interpreted in context.
How it works
From data to review.
Six steps from raw results to reviewed insight.
- DataResults enter from relevant sources.
- StructureSnapshots become one coherent record.
- BaselineWhat's normal for this person is established.
- ChangeMeaningful deviation is measured.
- InterpretationPatterns are explained in context.
- ReviewFindings are checked by people.
Under the hood
Statistics first, then AI.
Statistical foundation
Measuring change.
EDDS uses statistical methods to establish baselines and quantify change over time. A full description of the methodology will be published here.
AI layer
Interpreting the analysis.
The AI layer works on the structured analytical output to help summarize patterns and support interpretation, with findings reviewed by people.
Development stage
Where EDDS stands.
What we have, what we're developing and where we're going.
Working prototype
A functional prototype that demonstrates the platform concept. It is not a clinically validated diagnostic system.
Clinical evaluation
A pathway from prototype toward structured clinical evaluation and, eventually, validation.
An intelligence layer
Sensors collect information; the intelligence layer makes sense of it, from lab tests, portable diagnostics, wearables and passive monitoring.