Researchers created a new atlas of circulating immune cells based on the analysis of more than 2 million peripheral blood mononuclear cells from 356 patients with 18 inflammatory diseases.[1] This atlas presents a comprehensive model of inflammation in circulating immune cells using advances in single-cell genomics.[1] The study characterizes the spectrum of immune cell activation in infections, immune-mediated inflammatory diseases and cancer.[1] She expanded knowledge about the biology of inflammation in acute diseases, such as inflammatory bowel disease or sepsis, and chronic conditions, such as cirrhosis, asthma or chronic obstructive pulmonary disease.[1] Using unsupervised and explainable machine learning, she laid the foundations for the framework of precision medicine.[1] The Atlas maps the altered activity of inflammatory molecules in peripheral blood cells and identifies functional biomarkers to understand the mechanisms of inflammation.[1] Finally, the study developed an inflammatory disease classifier that serves as a tool to stratify patients with severe acute or chronic inflammation.[1]