Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy. The model harnesses whole-slide tumor imaging data and gene expression analyses in a way that outperforms previous models using a single data type.
The study, published March 22 in npj Digital Medicine, identifies key genes and tumor characteristics that may determine…
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News Source: www.sciencedaily.com
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