Programme for High Dimensional Translation in Neurology

To accelerate translation in neurology we must begin to model the brain in its full complexity. Without such high-dimensional modelling, we cannot understand the multifactorial mechanisms of disease causation, nor deliver individualised personalised medicine Innovating across several administrative, clinical, scientific, and technological domains, the Programme for High-Dimensional Translation in Neurology, headed by Parashkev Nachev at University College London, will a build high-dimensional, regulatorily-approved decision systems that predict clinical outcome and thereby support decision making at the individual, clinical level, and at the institutional, operational level. The team will do this by combining the richest source of structural information about the brain-magnetic resonance (MR) and computed tomography (CT) imaging-with comprehensive clinical data and create a replicable blueprint for embedding this approach within healthcare. The aim is to integrate the use of multidimensional data in this way into established ciinicai pathways in order to derive vaiue with minimai change to clinical practice. This will accelerate adoption and allow the benefits of such a system to be more easily achieved. Working in tandem with healthcare and enterprise partners, the Programme will focus on near to medium term goals, delivering real-world impact addressed to defined operational, clinical, and scientific objectives, within areas of neurology with greatest population-level significance. Additionally, the model weights on each factor will illuminate complex mechanisms of disease. We shall focus on a set of interlocking investigational and disease-specific areas: stroke, neuroradiology, and acute cognitive dysfunction in acute medicine.