Daniela Witten, an assistant professor of biostatistics at the University of Washington in Seattle, is developing artificial intelligence programs to sort the slurry, helping researchers develop more personalized and effective treatments for cancer and other diseases. Witten is using statistical machine learning to discover the nuggets of gold in the ore of biological research. A statistical analysis of the 3 billion base pairs of DNA making up a cancer cell may be able to identify the pairs or combination of pairs responsible for certain characteristics of the cancer. Before I got to college, I was planning to study foreign languages, Witten said in an interview with the blog Simply Statistics.
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