A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms

Our technology builds on peer-reviewed research published in Modern Pathology, which showed that a deep learning model could predict SOX10 immunohistochemistry staining directly from standard H&E slides, at single-cell resolution, with no extra or staining steps.

Read the full paper here: https://doi.org/10.1038/s41379-020-0526-z

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Development and multiplexing of virtual immuno-oncology biomarkers for enhanced research and discovery