A Mathematical Algorithm to Improve Diagnosis of Dementia

Description of impact

Alzheimer's disease is the most common form of dementia, with a cost to society estimated at €177 billion per annum across Europe, according to the European Collaboration on Dementia (EuroCoDe) project funded by Alzheimer Europe. Data-based modelling of network structures is a modern approach to study and understand many diseases including dementia. Research carried out at the Institute of Pure and Applied Mathematics (IPAM) at the University of Aberdeen has led to the development, implementation, and testing of novel mathematical algorithms to infer network structures by means of observations of their dynamics. The results of our research have been implemented as part of a software package now offered by the Netherlands-based company BrainMarker to researchers and practitioners across Europe in an online `pay-per-click' platform (section 5.c1 and 5.c4). As such our research generated impact on clinical practitioners in addition to commercial impact.

Impact status	Impact Completed (Open)
Category of impact	Other Impacts