1. BIOLOGICAL STATE

Disease is approached as a dynamic regulatory state that can be observed and quantitatively characterized at molecular, cellular and phenotypic levels.

2. QUANTITATIVE PHENOTYPE

Cellular morphology is converted into measurable parameters, creating a machine-readable representation of biological state.

3. AI STATE MODEL

Computational analysis maps phenotypic states and trajectories, identifying recurrent patterns and responses to regulatory perturbation.

4. REGULATORY DESIGN

Small non-coding RNAs provide an experimental control layer for investigating and modulating regulatory states.

5. CLOSED-LOOP ARCHITECTURE

Measurement, modeling, regulatory design and response assessment are connected in an iterative framework for individualized biological control.