About Adriana Tomic
Marie Curie Fellow in systems immunology, applying machine learning to understand how vaccines work, specifically focused on human immunology and data-driven research. Co-developer of SIMON, an open source platform for the application of machine learning to biological and clinical data.
Intro Content
Scientific Data
Unifying clinical data to reveal influenza imprint on immune system
Every exposure leaves an imprint on our immune system. Application of machine learning can identify unique imprints of pathogens or vaccines. In this blog, we share our approach to unify data acquired from individuals undergoing influenza vaccination and to generate the FluPRINT database.