Cancer is a tricky disease to treat. With more than one hundred known types, each responding differently to treatment depending on the person they’re growing inside (and dozens of other factors), oncologists certainly have their work cut out for them. Machine learning could soon make their jobs a bit easier. IBM’s supercomputer Watson has been applying machine learning to personalized cancer treatment for some time. After pouring over 600,000 medical reports and 1.5 million anonymized patient records and clinical trials, the data should help define the clearest path forward for doctors. Currently, doctors rely on textbooks, medical journals and clinical research to help point…
at The Next Web
Artificial intelligence could soon revolutionize the way doctors treat cancer
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