Thermodynamic State Modelling™
We model biology as a far-from-equilibrium system, where outcomes are determined by how energy flow is constrained and coupled to regulatory networks. This approach converts complex biological behaviour into measurable state transitions, enabling prediction of tissue failure, quantification of resilience, and targeted intervention design.
Regeneration is the controlled re-establishment of biological order in systems operating far from equilibrium
Core Control Layers
We model and predict whether tissue is likely to regenerate, scar, or degenerate
What We Build
We develop systems for measuring, modelling and predicting tissue state transitions.
Biomarker scoring systems
→ quantify regenerative versus degenerative states
Computational models
→ predict tissue response to stress, injury, and intervention
Thermodynamic frameworks of biology
→ link energy flow, signalling, and structural outcomes
Applications
Our approach applies across biological systems where repair, ageing, and degeneration are governed by state transitions:
Why It Matters
Most approaches treat biological systems as collections of isolated pathways.
TAKMAL instead models how entire systems transition between functional states- enabling earlier detection of failure, improved intervention timing, and more effective regeneration strategies.
The Platform
A Predictive Platform for Tissue State Transitions
TAKMAL models tissue repair and ageing as transitions between biological states governed by energy flow, regulatory control, and structural constraints.
Core Capabilities
State Estimation
Quantify tissue resilience and proximity to key transitions (e.g., regeneration vs scarring)
Biomarker Architecture
Define measurable readouts of energy – stress coupling and regulatory coherence
Predictive Modelling
Simulate tissue responses to stress, injury, and intervention
Intervention Design Logic
Identify strategies to stabilise or restore regenerative states
Canonical State Model
Biological systems transition between key states:
Regeneration-Competent ↔ Repair/Scar ↔ Senescent/Fibrotic
Transitions are governed by:
State Before → Perturbation → State After
Approach
We treat biological systems as far-from-equilibrium, where function depends on the precise coordination of energy flow, stress resolution, and regulatory control.
Regeneration corresponds to the restoration of organised energy flow and functional structure, while ageing and chronic disease reflect a loss of coordination and increasing system instability.
By integrating molecular, cellular, and tissue-level dynamics, we model how biological systems move between stable states and failure regimes.
Research Domains
We investigate key control interfaces that govern tissue behaviour:
We collaborate with research and translational teams to: