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Heba Sailem


    Personal profile

    Research interests

    We are interested in understanding the environmental and molecular factors underlying tissue architecture and how these factors change in cancer. To achieve that, we develop machine learning and bioinformatics approaches for analysing large-scale imaging and single cell data. Our work is highly interdisciplinary and span:

    • Computational pathology
    • Multiplexed imaging
    • Spatial biology
    • Biomarker discovery
    • Image analysis and phenotyping
    • Gene function inference
    • High throughput screening
    • Drug screening

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    • SDG 3 - Good Health and Well-being


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