Héctor Zenil

The paper introduces numerical and colour-based risk stratification scores to quantify abnormal blood analyte values and tests their effectiveness in distinguishing healthy individuals from those with diseases.

The paper introduces a new framework for causal discovery and system reprogramming using algorithmic information theory, applied to biological systems like E. coli and cell differentiation networks.