EHIL Blog and Announcements

In February 2024, Lamin Juwara joined us to discuss the results of his recently published study “An evaluation of synthetic data augmentation for mitigating covariate bias in health data” on bias mitigation techniques to correct biased datasets. Webinar video available at: https://vimeo.com/918399218

This is the release announcement for the sdgm R package. This is the package we use on our intro to machine learning class.

This post includes links to the data and code files for the Juwara et al. paper code and data files.

R files for paper by Cole et al. on change scores for VMS in breast cancer patients.

This blog makes a minor correction to one of the tables in the paper recently published in Scientific Reports:

https://www.nature.com/articles/s41598-023-38457-3

On March 9, Stef James, Senior Director, Capability and Operations at AstraZeneca UK, joined EHIL to present her study of use cases for synthetic data within the pharmaceutical industry.

The Globe and Mail recently published the article, “Synthetic data puts privacy at the heart of AI projects” that features an interview with Dr. Khaled El Emam, head of the Electronic Health Information Laboratory.

To address the lagging commercialization of AI research in Canada, privacy laws must enable responsible access to data.

This is the opening statement for Khaled El Emam's appearance at the hearing on 7th February 2022.