Gaps in care highlight the need to expand access to clinical cancer trials

The current model has not been tested in real-world clinical care settings, so it is not clear how robust the model will be with respect to real-world challenges, such as imaging quality, computing resource, communication speed, and practice variations," he says.As the model works only on pathology slides, Dr Wang says that it is important to see how it could be combined with other information modalities, such as genomics and clinical records as well as environmental exposures and behavioral changes.Plans for refining the model are underway and include exposing the model to more molecular data, training the model to predict the benefits and adverse effects of novel and standard cancer treatments (including samples from premalignant tissues cells), and training the model on tissue samples from diseases other than cancer.