Decoding the Immune System
The Human Immunome Project (HIP) is overseeing the generation of the largest immunological dataset in history and will use these data to build AI models of the immune system that can accelerate medical research and drug discovery, decrease healthcare costs worldwide, and most importantly, improve health for all.
Our commitment is to build an immunological dataset that is representative of the full breadth of human immune responses to power our AI models.
Background
The human immune system is a dynamic, multi-scale network that involves uniquely complex interactions between molecules, cells, and organs. It monitors for, reacts to, and defends the body against invading pathogens and other stressors and therefore plays a critical role in maintaining human health.
Despite tremendous advances in applying multi-omics approaches and immune monitoring technologies, existing data remains limited in both size and scope. As a result, immunologists estimate that less than 1% of the data required to understand global immune function and diversity are available. These gaps prevent us from harnessing the power of the immune system to improve human health. The Human Immunome Project’s scientific plan is designed to address this data gap.