Language-based digital twins can authentically mimic individual conversational behavior while simultaneously serving as cognitive health monitors—enabling continuous, personalized monitoring of cognitive decline without requiring frequent clinical visits.
This paper creates AI-powered digital twins of elderly people using language models to capture their unique conversational patterns and writing style. The system learns from real conversations to generate authentic responses and can predict cognitive health scores, offering a non-invasive way to monitor early signs of cognitive decline.