Approved Research

A data-driven approach to identify clusters of Alzheimer's and vascular dementia patients using electronic health records, brain imaging, frailty index, and polygenic risk score

Lay summary

The aim of our research is to use advanced computer techniques to identify different types of Alzheimer's disease and vascular dementia based on factors such as frailty, brain health, and genetics. By grouping patients with similar characteristics, we can better understand the unique needs and characteristics of each type of dementia and develop more effective treatment plans. If we can better understand the differences in frailty levels in Alzheimer's disease and vascular dementia types, it will support the idea that frailty should be considered when diagnosing and treating these conditions. Overall, this year-long research study has the potential to improve our understanding of dementia and improve how it is diagnosed and treated.