Big data for precision medicine
Unified sources of data from cohort studies will aid diagnosis and treatment of dementia.
This study – Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients (IASIS) – proposes to design a unified conceptual schema to represent diverse sources of available data. The ability to integrate large volumes of clinical and laboratory data may provide evidence for potentially important associations that emerge from cohort studies.
This project provides a major scientific opportunity to identify or confirm associations with dementia types and responses to dementia treatment, as well as dementia prognoses and outcomes.