Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer Article Swipe

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Breast cancer Tissue microarray Biomarker Medicine Cancer H&E stain Immunohistochemistry Pathology Oncology Receiver operating characteristic Internal medicine Cohort Molecular biomarkers Bioinformatics Biology Biochemistry

Gil Shamai , Yoav Binenbaum , Ron Slossberg , Irit Duek , Ziv Gil , Ron Kimmel ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.1001/jamanetworkopen.2019.7700 · OA: W2964047652

For at least half of the patients in this study, MBMP appeared to predict biomarker expression with noninferiority to IHC. Results suggest that prediction accuracy is likely to improve as data used for training expand. Morphological-based molecular profiling could be used as a general approach for mass-scale molecular profiling based on digitized H&E-stained images, allowing quick, accurate, and inexpensive methods for simultaneous profiling of multiple biomarkers in cancer tissues.