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  1. Article

    Open Access

    Deep learning generates synthetic cancer histology for explainability and education

    Artificial intelligence methods including deep neural networks (DNN) can provide rapid molecular classification of tumors from routine histology with accuracy that matches or exceeds human pathologists. Discer...

    James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon… in npj Precision Oncology (2023)

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    Article

    Ovarian cancer through a multi-modal lens

    Prognostic information for patients with ovarian cancer is captured in clinico-genomic data, histopathology slides and computed tomography imaging; however, how to integrate these data is unclear. A study now ...

    Hanna M. Hieromnimon, Alexander T. Pearson in Nature Cancer (2022)