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A timely diagnosis of the prodromal stages of dementia remains a big challenge for the healthcare system. Of late, many tools for the automatic assessment of dementia have been proposed, but they are unreliable for detecting subtle changes in cognition.
The scientific literature contains a number of reports about language disturbances at the earliest stages of dementia (the clinical syndrome known as Mild Cognitive Impairment, MCI), but the clinically-controlled collection of language data at scale remains a significant bottleneck for progress in this area. ReMind aims to develop an innovative prototype platform that uses Natural Language Processing (NLP) technology for non-intrusive, cost-effective screening of dementia, based on a large array of Digital Linguistic Biomarkers (DLBs).