Russian scientists learned to predict immune system aging
Scientists at Sechenov University have learned to predict the aging trajectory of the immune system by developing a special mathematical model, the university's press service told RIA Novosti.
TL;DR
- A mathematical model has been developed to predict the aging trajectory of the human immune system.
- The model quantifies immune system aging from infancy to old age.
- It aids in understanding immune cell adaptation after thymus removal.
- T-cell counts peak in early childhood, decline in adolescence, and rise again in adulthood.
- Future research will incorporate pathological conditions like infections and cancer into the model.
- A virtual platform based on the model is planned for drug development and aging correction therapies.