In collaboration with Dr. Kevin Bryson from the School of Computing Science and as part of a Reinvigorating Research grant, the Data team is building a prototype software tool to help conduct Precision Medicine trials. The software uses deep learning methods to predict transcriptomic responses to drugs. It then employs Bayesian techniques to infer overall drug effectiveness in patient sub-groups. If you are interested in learning more or applying this to your own data, please contact us.