This research investigates how loneliness affects brain function across adulthood. Using brain imaging, it identifies age-related differences in activity within the caudate, a region involved in social reward processing. The findings suggest loneliness alters how people perceive social interactions, supporting the development of personalized, age-appropriate interventions to reduce chronic loneliness.

This research has developed a five-minute smartphone memory test that detects subtle cognitive changes associated with early Alzheimer's disease. The tool identified symptom-free individuals with underlying disease and predicted future cognitive decline, outperforming expensive brain scans while offering a simple, accessible, and affordable approach to early diagnosis.

This research examines whether changes in walking patterns can predict frailty before serious health events occur. Using smart insoles, GPS tracking, and machine learning, mobility data from older adults is analyzed to identify early warning signs of decline. The goal is to enable proactive interventions and support healthier aging.