Health IT Analytics June 26, 2020
The machine learning techniques could help researchers better understand and treat brain cancer.
Researchers from Vanderbilt University leveraged unsupervised and automated machine learning techniques to analyze millions of cancer cells and identify new cancer cell types in brain tumors.
The team’s findings hold important implications for treatment of glioblastoma, an aggressive brain tumor with high mortality, as well as the application of machine learning to broader cancer research.
In a study published in eLife, researchers described the development of the Risk Assessment Population IDentification (RAPID) tool, an open-source machine learning algorithm. The tool revealed coordinated patterns of protein expression and modification associated with survival outcomes.
To develop the tool, researchers used data on cellular proteins that govern the identity and...
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