Proof-of-concept model uses AI to combine multiple types of data to predict cancer outcomes

While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information to make decisions about patient care.

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Emily Henderson ,Faisal Mahmood ,Cancer Program ,Broad Institute Of Harvard ,Division Of Computational Pathology ,Mahmood Lab At Brigham ,Mahmood Lab ,Computational Pathology ,Broad Institute ,Cancer Genome Atlas ,Cancer ,Artificial Intelligence ,Fell ,Deep Learning ,Iagnostic ,Genes ,Enome ,Enomic ,Genomic Sequencing ,Distology ,Hospital ,Pathology ,Research ,