Using adaptive immune modeling and Digital Twins to simulate therapeutic response over time.
MuneSpike is developing an Adaptive Therapy Prediction framework that combines immune memory modeling, cytokine dynamics and AI-driven Digital Twins to explore how patients may respond to therapy over time.
Instead of relying only on static biomarkers or isolated scans, the platform aims to simulate dynamic immune behavior before, during and after treatment.
The framework integrates:
- T-cell memory dynamics
- B-cell memory responses
- Cytokine signaling patterns
- Immune exhaustion markers
- Tumor immune escape signals
- Inflammatory rebound detection
- Digital Twin prediction layers
Potential applications include:
- KRAS-targeted therapy monitoring
- Immunotherapy response prediction
- Checkpoint inhibitor modeling
- Minimal residual disease surveillance
- Relapse risk estimation
- Chronic inflammation tracking
- Personalized therapeutic simulation
Adaptive Therapy Prediction aims to help model whether an immune response remains durable, becomes exhausted or shifts toward immune escape over time.
The long-term vision is to create adaptive Digital Twins capable of continuously learning from immune signals and predicting individualized therapeutic trajectories.
Conceptual Research Framework — In Development
Adaptive Immune Memory Engine (AIMM)
AIMM functions as the biological learning layer of the Digital Twin by integrating:
- T-cell immune memory
- B-cell immune memory
- Cytokine adaptation
- Immune resilience
- Therapy response evolution
CORE CONCEPT:
Adaptive Therapy Prediction =
Immune Memory
- Cytokine Dynamics
- Tumor Interaction
- AI Simulation
- Digital Twin Modeling
DISCLAIMER:
MuneSpike is currently exploring these concepts as part of an ongoing research and simulation framework. The platform is not intended for clinical diagnosis or treatment decision-making.
Adaptive Immune Memory concepts are inspired by emerging immunotherapy fields including allergy desensitization, tumor immunology, mucosal immunity and adaptive immune reprogramming.