Aitia Med Copilot

Causal reasoning for medical datasets, cohorts, and drug-effect questions.

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Medical domain copilot

A copilot for medical causal analysis.

Aitia Med Copilot helps clinicians, biostat teams, and pharma programs structure drug, treatment, and outcome questions before estimation begins.

How it works

01

Frame the medical question

Define the drug exposure, comparator, endpoint, and patient population you want to evaluate.

02

Work from real study data

Bring cohort, registry, claims, EHR, or trial-support data and anchor the workflow in the tables you actually have.

03

Review bias and assumptions

Inspect confounding, cohort logic, and generated artifacts before effect estimation, protocol review, or trial planning.

Drug and endpoint framing

Turn a plain-language medical question into exposure, comparator, endpoint, and cohort definitions.

Cohort and trial workflows

Use observational datasets to support real-world evidence analysis, study design, and trial-style reasoning.

Review-ready reasoning

Keep assumptions and outputs legible for clinicians, pharma teams, and governance or ethics review.