Finding biomarkers to make personalized medicine more precise
Omics researchers are often faced with such large amounts of data that they are not able to analyze it quickly or pick out patterns hidden in the data. At the University of Alberta, a strong collaboration between cross disciplinary research teams has been able to bring machine learning and and artificial intelligence to bear on the problem and have produced some excellent results. One of those closely involved in harmonizing the next steps in precision…