Cancer. gov: Researchers create record-sized, integrated cellular cancer database

Cancer .gov: Researchers create record-sized, integrated cellular cancer database. “An international team of researchers have created a powerful new database that consolidates data on a record number of cancer drugs and cell lines. The freely available tool, called CellMinerCDB, can be used to explore connections between drugs and various features of cancer, such as genetic mutations, cell signatures, DNA methylation and more.”

Georgia Tech: Open Source Machine Learning Tool Could Help Choose Cancer Drugs

Georgia Tech: Open Source Machine Learning Tool Could Help Choose Cancer Drugs. “The selection of a first-line chemotherapy drug to treat many types of cancer is often a clear-cut decision governed by standard-of-care protocols, but what drug should be used next if the first one fails? That’s where Georgia Institute of Technology researchers believe their new open source decision support tool could come in. Using machine learning to analyze RNA expression tied to information about patient outcomes with specific drugs, the open source tool could help clinicians chose the chemotherapy drug most likely to attack the disease in individual patients.”