 Computational immunology

Computational immunology is an interdisciplinary field that applies computational techniques and quantitative analysis to understand, model, and predict immune system behaviors and interactions. It combines principles from biology, immunology, computer science, mathematics, and statistics to facilitate research and advancements in immunological studies. Key components of computational immunology include: 1. **Modeling Immune Responses**: Creating mathematical and computational models to simulate how the immune system responds to various pathogens, vaccines, and immune therapies.