Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

HIGHLIGHTS

• who: Kevin M. Boehm from the Institut of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USAColumbia University have published the article: Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer, in the Journal: (JOURNAL) of 28/06/2022
• what: To probe the interpretability of the histopathological features the authors investigated the mean tumor nuclear area; the authors show examples of low (Fig 5f) and high (Fig 5g) values which were associated with better and worse prognosis respectively. The authors show that integrating multiscale clinical imaging and genomic . . .
  

   

  

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