Dr. Khaled El Emam provides an overview of his experience with synthetic health data generation.
Join us on March 19, for an engaging discussion of how generative models can be used to simulate patients in low accruing trials.
On February 21, Khaled El Emam will present the keynote address at the Texas Medical Center AI Summit 2025 in Houston, TX.
EHIL Postdoctoral Fellow, Lisa Pilgram, will be presenting at the PHUSE Data Transparency Winter Event on February 4, 2025 on "Reducing Regulatory Uncertainty Around Anonymisation: Perspectives of Canadian Privacy Regulators".
On January 28, join Khaled El Emam and an esteemed panel of experts to hear how PETs can be used in practice to support innovation while also protecting privacy.
Lisa Pilgram and Khaled El Emam share the results of an interview study with Canadian privacy regulators to understand their perspectives on data anonymization.
A literature review on precedents for the threshold for re-identification risk.
Dr. Khaled El Emam distills key learnings about publishing studies utilizing machine learning models.
On September 24, Dr. Fida Dankar presented her research work on synthetic data utility.
Do you conduct research involving human participants? Are you subject to the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS)? In this webinar, Hanan Abdel-Akher, Senior Policy Analyst with the Secretariat on Responsible Conduct of Research, answers these questions and more.
Synthetic data generation is an emerging approach for responsibly sharing data. Dr. Khaled El Emam reviews the use of generative models to produce synthetic real-world data and clinical trial data, along with studies evaluating the replicability of analyses using synthetic data and the privacy risks of synthetic data will. He also discusses further applications for enabling federated analysis and (selection) bias mitigation.