Abstract
Abstract “How is my immune system?” This is a simple question, but there is no metric to assess the overall performance of the human immune system. Current clinical methods that evaluate a person’s immune system only provide limited information, like cell counts or immunoglobulin levels, and fail to capture the global immune state. This project aims to develop Immunogram, a generalized framework to measure a person’s immune system. Immunogram is a Julia-based software that links cells, proteins, and other molecules in a knowledge graph. Immunogram delineates subgraph patterns that describe human immune states and uses them to characterize a person’s immune system. Immunogram can be used to identify immune cell types, predict vaccine response, and determine if a person has an ongoing infection. Kwat Medetgul-Ernar was supported by Stanford University Medical Scientist Training Program grant T32-GM007365 and T32-GM145402.
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