Empowering health research teams with the latest data science tools to understand biological processes and to improve patient care.
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:
- Robust, transferable and interpretable natural language processing of psychiatric clinical notes
- Visual analytics support for the HEiDi virtual physician COVID-19 deployment
- The use of methods of deep learning for the virtual screening for COVID-19 therapeutic candidates
- 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
Partnerships:
EHR Analytics Research Program
The UBC Data Science Institute is starting a joint research partnership program with the British Columbia (BC) Provincial Health Services Authority, the BC Centre for Disease Control and the Department of Medicine at UBC in the Fall 2020. The objective is to build cutting-edge data platforms and conduct interdisciplinary research at the intersection of data science, machine learning and public health. Research topics of interest include, but not limited to, predictive modelling, longitudinal analysis, natural language processing, data visualization, and data privacy.
