Serologic / Development & validation

Build it.
Examine where it fails.

Development uses synthetic cases, educational material, regression tests, and external benchmark comparisons. Independent validation remains a separate goal.

Research and educational prototype. Not validated for clinical use.

Status reviewed October 3, 2026 · Based on the project handoff; engine tests were not rerun for this website update.

Illustration of a red blood cell
Project status

What exists. What comes next.

Research and website capabilities as described in the October 3, 2026 handoff
CapabilityStatusWhat that means
Research reference engineImplementedA working reference engine is documented. It remains a research prototype, with continuing development.
Development evaluationOngoingRegression tests and external benchmark comparisons inform development. They do not establish clinical readiness.
Public project explanationAvailableOverview, approach, and development pages describe the work and its boundaries.
Verified worked examplePlannedPublish approved synthetic inputs with their actual saved output, engine/knowledge-base/policy versions, and run date.
Live structured-input demoPlannedConnect an explicit execution service and verify website outputs against direct runs of the same engine.
Reviewed photo inputPlannedImplement extraction, editable observations, required human review, and verified data handling before enabling uploads.
Learning from disagreement

A mismatch is
a question to investigate.

Disagreements are examined to distinguish software defects, missing information, differences in interpretation policy, and limits in the available reference answer.

Agreement with a source label is one endpoint. It is not, on its own, a measure of clinical safety or utility. Demonstrating value requires evidence beyond a passing test suite or a benchmark score.

Validation approach

Keep the evidence
and its limits together.

What development testing can establish

Synthetic cases and regression tests help check whether implemented behavior matches defined expectations and whether changes break previously tested behavior. Benchmark comparisons expose disagreements worth examining. These activities support development; they are not substitutes for independent clinical validation.

What a benchmark result needs beside it

Any published result should carry its cohort, denominator, engine version, endpoint, and reference-standard limitations. Method scope, evidence thresholds, source-label sufficiency, historical context, and blinding all affect interpretation. Development test counts should not be presented as general diagnostic accuracy.

Known scope and limitations

The initial scope is routine red-cell alloantibody interpretation. It is not a comprehensive solution to every reference-laboratory problem. Incomplete observations, unresolved findings, method-dependent evidence, and the need for expert review must remain visible. Planned output semantics and workflows should not be mistaken for implemented features.

The path to a public demonstration

Start with a result
that can be traced.

FIRST / SAVED ENGINE DEMONSTRATION

A verified worked example.

Pair approved synthetic input with actual output checked against the reference engine. Identify the versions and run date, and label the demonstration as saved.

LATER / LIVE STRUCTURED INPUT

A reproducible live run.

Validate structured inputs, retain unknown values, and compare website results with direct engine runs before describing the integration as working.

LATER / REVIEWED PHOTO INPUT

Extraction with review.

Show the source image alongside editable observations. Require confirmation before inference, with clear and verified data-handling behavior.

No public engine demonstration or upload function is currently enabled. The conceptual output on the overview page illustrates the design without presenting fabricated case results.

A physician-led research project. This site makes no claim of institutional sponsorship, regulatory clearance, clinical readiness, or demonstrated patient-outcome improvement.

Continue exploringReturn to the project overviewThe broader informatics philosophy
Illustration credits

Red-cell illustrations by Sarbasst Braian, via Wikimedia Commons: BloodCellState 001 and BloodCellState 159. Released under CC0 1.0. Illustrations, not microscopy or case evidence.