Having successfully established the infrastructure and governance for cohort discovery spanning multiple regional partners, and ways to provision research data, the Biomedical Informatics Program (BIP) looks to the next logical step: helping people use contemporary computational methods on data to improve healthcare. Tackling this challenge requires us to engage the continuum of stakeholders (researchers, clinicians, policy makers), educating as well as offering new services enabling agile, data-driven approaches to be tested and rolled out. 

The program’s aims are to enhance researchers’ access to high-quality patient data, to facilitate reproducible data-driven science via the creation of a FAIR results repository, and to translate data science and artificial intelligence methods into practice by coalescing interdisciplinary expertise and by establishing active testbeds for projects. 

For more information, please visit the BIP page.

Last updated
November 15, 2023