Publications by authors named "Edward Ernest Kadel"
Article Synopsis
- - The study highlights the lack of effective predictive biomarkers for metastatic clear cell renal cell carcinoma (ccRCC), a cancer treatable by various inhibitors, and introduces the Angioscore as a promising RNA-based measure for predicting response to anti-angiogenic therapies, despite challenges in clinical adoption due to factors like high cost and tumor heterogeneity.
- - A novel deep learning model is developed to estimate the Angioscore from histopathology slides, providing visualizations of vascular networks, which enhances its interpretability compared to traditional models.
- - The model demonstrates strong predictive capability, showing high correlation with the Angioscore in multiple cohorts and effectively predicting treatment responses, making it a potentially valuable tool for understanding angiogenesis in ccRCC at a
