AI-powered prediction based on peripheral blood lymphocyte subsets
This is a machine learning-based immune age prediction model. Immune age is an important indicator for assessing the functional status of an individual's immune system and is closely related to various disease risks and health conditions.
The model was trained using peripheral blood lymphocyte subset data from 124 healthy adults at the Second Affiliated Hospital of Soochow University (Ethical Approval No.: JD-LK2023013-IR01).