From Detection to Decision
Analysis is automated.
Patterns can be detected.
Variants are prioritized.
Artificial intelligence expands visibility.
Pipelines organize complexity.
Databases compare at scale.
But detection is not a decision.
What appears statistically significant
may not be clinically relevant yet.
What is computationally plausible
may not be medically meaningful yet.
What meets predefined thresholds
does not automatically enter a report.
Not every signal becomes a statement.
Not every variant must be retained.
A system can classify a change.
A clinician determines whether it stands.
Automation generates data.
Humans sign.
Where it becomes medicine
Technology assists interpretation.
Artificial intelligence supports prioritization.
Yet the final step is not computational.
A clinician decides what remains.
A clinician decides what is excluded.
That act cannot be delegated.
THE METHOD
Technology extends analytical capacity.
It accelerates comparison, filters noise, and surfaces genetic patterns
that would otherwise remain invisible.
But the final interpretation is not automated.
Every clinically reported finding passes through deliberate review.
Inclusion is intentional. Exclusion is intentional.
Each retained variant reflects a position taken.
Technology supports the process.
The human signature completes it.