Health and biology is govern by genetic data and how it manifests and interacts with the environment. Uncovering novel insight in these processes requires tools to manipulate, analyze, and visualize massive and disparate data sets such as DNA and RNA sequences, images, and text.
The DSI partners with the Faculty of Medicine at UBC and the Pacific Health Innovation eXchange (PHIX) to provide funding to interdisciplinary research groups to accelerate health care breakthroughs in British Columbia. These teams feature leading clinicians collaborating with faculty at the cutting-edge of data science research domains such as statistical modelling, machine learning, and natural language processing.
List of Funded Projects:
- Personalized risk assessment in pediatric kidney transplantation using metabolomics data
- A deep learning approach to analyzing retinal imaging for medical diagnosis and prediction
- Using machine learning models for understanding the role of the non-coding genome in brain development and autism
- Using contact networks, administrative, and linked genomic data to understand tuberculosis transmission in BC
- Leveraging eye-tracking data to improve reliable detection of Alzheimer’s Disease and related patient’s states
- Large-scale Bayesian modelling of drug resistance and evolution in human cancers at single-cell resolution
- Automated diagnosis and prognostication of severity in COPD via deep learning frameworks using multi-modal data
- Using text analysis for chronic disease management
- Application of deep learning approaches in modelling cheminformatics data and discovery of novel therapeutic agents for prostate cancer
- Modeling multiple types of "omics" data to understand the biology of human exposure to pollution and allergens
List of Collaborations:
For questions about funding opportunities, please contact the DSI Scientific Director.