Immune Digital Twin

A multiscale computational model that simulates, visualizes, and predicts immune behavior - continuously evolving with an individual as new biological and clinical data are incorporated, from molecular interactions to whole-body dynamics.

Why start with the immune system?

The immune system is the body’s primary sensing, decision-making, and response network. It integrates signals across molecular, cellular, tissue, and organismal scales to maintain health, respond to threats, and adapt over time. Its complexity, adaptability, and central role in nearly every disease make it an ideal foundation for digital twin research.

Balanced

A stable, resilient immune state that maintains homeostasis while remaining prepared to respond to new challenges.

Balanced

A stable, resilient immune state that maintains homeostasis while remaining prepared to respond to new challenges.

Balanced

A stable, resilient immune state that maintains homeostasis while remaining prepared to respond to new challenges.

Activated

A coordinated, transient response to infection, injury, or vaccination - where timing, magnitude, and resolution matter."

Activated

A coordinated, transient response to infection, injury, or vaccination - where timing, magnitude, and resolution matter."

Activated

A coordinated, transient response to infection, injury, or vaccination - where timing, magnitude, and resolution matter."

Dysregulated

A maladaptive state underlying chronic inflammation, autoimmunity, immune exhaustion, cancer progression, and severe infection.

Dysregulated

A maladaptive state underlying chronic inflammation, autoimmunity, immune exhaustion, cancer progression, and severe infection.

Dysregulated

A maladaptive state underlying chronic inflammation, autoimmunity, immune exhaustion, cancer progression, and severe infection.

The immune system sits at the core of human health

Understanding immune behavior is essential for understanding health, aging, and diseases, predicting outcomes, and designing interventions. Yet, immunity is dynamic and complex - changing across individuals, time, context, and biological scale.

Data Inputs

The twin incorporates multi-omic measurements, immune profiling, clinical signals, imaging, and longitudinal biomarker data. These inputs refine the twin and enable personalized immune modeling.

A multiscale framework for immune simulation.

Our model connects biological processes across scales, linking molecular signaling, cell behavior, tissue responses, and whole-body immune dynamics. Mechanistic models provide interpretability; AI and ML components offer speed and generalization.

One model. Multiple biological scales. Multiple mathematical and computational approaches.

The immune system spans molecules, cells, tissues, and organs, orchestrating responses in infections, autoimmune diseases, chronic illness, cancer, aging, and inflammation. Modeling this system requires multiple mathematical and computational approaches integrated across time scales from seconds to years.

Subcellular

Mechanistic rules describe molecular signaling, metabolic pathways, gene-regulatory logic, and cytokine-production dynamics curated from decades of immunology research.

Subcellular

Mechanistic rules describe molecular signaling, metabolic pathways, gene-regulatory logic, and cytokine-production dynamics curated from decades of immunology research.

Subcellular

Mechanistic rules describe molecular signaling, metabolic pathways, gene-regulatory logic, and cytokine-production dynamics curated from decades of immunology research.

Cellular

Logical, metabolic, and agent-based models capture immune-cell activation, differentiation, and coordination between innate and adaptive responses.

Cellular

Logical, metabolic, and agent-based models capture immune-cell activation, differentiation, and coordination between innate and adaptive responses.

Cellular

Logical, metabolic, and agent-based models capture immune-cell activation, differentiation, and coordination between innate and adaptive responses.

Tissue-Level

Spatial and microenvironmental cues, including cytokine gradients, cell–cell interactions, and tissue / compartment-specific behavior, are simulated through multiscale and multicellular dynamics.

Tissue-Level

Spatial and microenvironmental cues, including cytokine gradients, cell–cell interactions, and tissue / compartment-specific behavior, are simulated through multiscale and multicellular dynamics.

Tissue-Level

Spatial and microenvironmental cues, including cytokine gradients, cell–cell interactions, and tissue / compartment-specific behavior, are simulated through multiscale and multicellular dynamics.

Systemic

Kinetic/ODE and whole-body models represent immune regulation across organs, recovery trajectories, disease levels, and long-term immune health states.

Systemic

Kinetic/ODE and whole-body models represent immune regulation across organs, recovery trajectories, disease levels, and long-term immune health states.

Systemic

Kinetic/ODE and whole-body models represent immune regulation across organs, recovery trajectories, disease levels, and long-term immune health states.

Simulating and forecasting immune behavior.

The digital twin enables in silico exploration of immune responses — predicting how the system may react to infection, vaccination, perturbation, or therapeutic intervention.

We’re growing our team.

We’re looking for scientists, engineers, designers, and students interested in building the future of immune simulation and personalised immune health. Join us as we shape a new generation of computational immunology tools.

We’re growing our team.

We’re looking for scientists, engineers, designers, and students interested in building the future of immune simulation and personalised immune health. Join us as we shape a new generation of computational immunology tools.

We’re growing our team.

We’re looking for scientists, engineers, designers, and students interested in building the future of immune simulation and personalised immune health. Join us as we shape a new generation of computational immunology tools.