Researchers at the Georgia Institute of Technology have developed a machine learning algorithm that accurately predicts the efficacy of cancer drugs and are making it freely available to the open source community in the hope of generating further medical breakthroughs.
Leveraging raw genetic data, the software tool was demonstrated to be about 85 percent accurate in assessing the treatment effectiveness of nine drug therapies in 273 cancer patients. Results of the study, conducted by Georgia Tech researchers, were published October 26 in the journal PLOS One.
