How it works

Question first,
model second.

Every Babels project follows the same path, from data to a tool a clinician can actually use.

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Step 1 of 7

Data

We start with real data, from clinical institutions and open-access repositories.

Step 2 of 7

Exploratory analysis to understand the cohort and what it can actually support.

Step 3 of 7

We identify the clinical questions the data can genuinely answer.

Step 4 of 7

Every direction is checked against the existing literature before we build.

Step 5 of 7

We build models matched to the question. The approach follows the problem, not the other way around.

Step 6 of 7

Internal validation, then we iterate and improve until the result holds.

Step 7 of 7

Then it runs through our full pipeline into the platform, explainable at the point of care.

Then the whole system we normally run, so the model earns its place at the bedside.