![]() By having many data points around a single question, neural networks can ‘learn.’ With cancer, we’re breaking several of these principles.” What we call ‘breast cancer,’ for example, can be caused by many different underlying genetic mutations and shouldn’t really be lumped together under one heading. AI can work well when there is uniformity and large data sets around a simple correlation or association. “With regards to cancer, we’re talking about a constellation of thousands of diseases, even if the focus is on one type of cancer. Shah, who is an MD and the Chief Medical Officer at Sharecare. “AI can work incredibly well when it’s applied to specific use cases,” said Nirav R. In the case of IBM, it does look like it was overly ambitious, as the company was looking at making significant strides in fighting cancer and other chronic diseases.
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