Essays

Proposing the central axiom: life is an adaptive capability ensemble. From this axiom, deducing the five core functional modules that any living system must possess.

Based on capomics theory, proposing a three-layer computational framework for root cause medicine: phenotype layer, functional layer, and root cause layer.

Medicine has two knowledge paradigms: objective description of external entities, and response mapping of system states. Modern medicine excels at the first but has a systematic blind spot in the second.

Logically deducing the three-layer architecture of root cause medicine from first principles, using diabetes as a clinical case study.

Proposing a paradigm shift from structural to informational views, explaining why complex chronic diseases require root cause analysis at the information layer.

Proposing the '3+1' framework: three internal layers (root cause, functional, phenotype) plus exogenous drivers (environmental pathogenic factors).

Starting from the conceptual confusion of 'wind' in TCM, exploring the true mission of AI for Science and the nature of scientific discovery.