Newer technologies from the fields of 'omics, digital health and data science have made a major impact on the methods and scientific approach used by investigators in the UCSF School of Nursing. 'Omics science has the potential to improve understanding of underlying mechanisms of disease and provide better biomarkers of disease risk and responses to interventions. Digital health, including tools like sensors and apps, allows for collection of real-time behavioral and physiological data within an individuals’ environment. Data science allows integration and analysis of these and other (e.g., EHR) large datasets in order to provide comprehensive models of disease risk and responses to interventions.
Major Projects
Major projects within this research theme that are being led by School of Nursing faculty include:
- Substance Use and DNA Methylation at the Intersection of Sex and Gender (principal investigator: Annesa Flentje)
- The Impact of Interventions to Treat Incident Diabetes on Circulating MicroRNAs in the Diabetes Prevention Program (principal investigator: Elena Flowers)
- Developing an AI-Based Lifestyle Intervention for Prevention of Dementia (principal investigator: Yoshimi Fukuoka)
- An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-Staged Integrated Omics Approach (principal investigator: Kord Kober)
- Perinatal Precursors of Early Microbiome Development (principal investigator: Sandra Weiss)
Partnerships and Resources
- Bakar Computational Health Sciences Institute
- UCSF Clinical and Translational Sciences Institute
- Diabetes Research Center
- Functional Genomics Core
- Institute for Human Genetics
- Helen Diller Comprehensive Cancer Center
- PRIDE study
- UC Davis DNA Technologies and Expression Analysis Core Lab
- UC Davis West Coast Metabolomics Center