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Alzheimer’s disease is the leading cause of death in over 50-year olds. However, we lack adequate means of diagnosing Alzheimer’s in its early stages, before neuropathological changes have brought on the clinical symptoms. Big data generated using a novel gaming app, together with sensitive and specific diagnostic tests, has helped us to detect subtle yet profound cognitive changes in those at risk for Alzheimer’s disease. This approach holds the promise of detecting dementia early, distinguishing between different dementia types and as a result, providing more personalised treatment options. Gillian Coughlan completed a Bachelor’s in Psychology (Hons) (2009-2013) and a Masters in Clinical Psychology at Trinity College Dublin (2013-2014). She became fascinated with cognitive neuroscience during her studies of cognitive ageing at Trinity Institute of Neuroscience (2014-2016). Gillian then went on to work as a visiting researcher at the Psychology Department of the University of Cambridge (2016) until she started a PhD at Norwich Medical School in UEA (July 2016) under the supervision of Prof Michael Hornberger. She currently investigates spatial navigation as a novel diagnostic marker for preclinical Alzheimer’s disease. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx