New algorithm identifies disease-linked changes in cells without prior training

New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions. Researchers from the University of Waterloo developed the machine-learning algorithm, called RNovA, to detect changes in the proteins in human cells. Their research is published in the journal Nature Biotechnology.