Found In Translation: Algorithm Could Speed Up Development of New Medical Therapies
In findings published today in Nature Methods, Israeli and American researchers reported on a revolutionary, big data-driven, machine learning algorithm designed to predict results of human gene expression based on preliminary results of mouse studies. The tool, which is expected to speed up the development of new medical therapies and may reduce future experiments done on mice, was developed by researchers from the research team of Assistant Professor Shai Shen-Orr from the Rappaport Faculty of Medicine at the Technion, together with Professor Rob Tibshirani and Ph.D. candidate Wenfei Du from Stanford University. The study was led by Technion Ph.D. candidate Rachelly Normand.
Read morr about this research on the technion website