Causality Informed Reasoning in Clinical Exploration
We are founding a startup to set new standards in clinical exploration
What we do
Our Goal
We are developing an innovative AI framework that integrates interactive learning with principles of causal thinking that is capable of drawing conclusions at the second level of Pearl’s causal ladder.
Why we do it
Designing clinical studies is complex, requiring multiple trials to adjust parameters like biomarkers, dosage, participants, and study duration. Early detection of the study’s ability to answer the research question and mid-study adjustments are critical, relying on accurate variable selection and valid prognosis.
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