Aghaeepour Laboratory

Artificial Intelligence, Machine Learning, and Multiomics Integration for Translational Medicine

The Aghaeepour lab uses machine learning to study patients in translational settings. This includes integrative “multiomics” analysis across genomics, proteomics, imaging, and single-cell technologies, as well as quantitative clinical phenotyping using electronic health records and wearable devices. For more details on our work in immunology, mass cytometry, and clinical research see our sister laboratories (Gaudilliere Lab) and (Angst Lab).

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