“ai and machine learning are invaluable tools in enabling powerful data processing capabilities,” says fernandes. “with ai and machine learning we can now receive blinded data at gsk in real time and more closely monitor progress and quality.
“we can look at trends, inclusion and exclusion criteria, and potential safety issues much faster than ever before. this capability has matured significantly over the past 10 years. our digital tools are facilitating faster and higher quality data collection.”
the immense power of data processing capabilities is demonstrated in the increasingly rapid development of vaccines. “the speed of development had a lot to do with the ability of drug developers to bring in new technology and maximize efficiency,” says fernandes.
clinical research in canada is also benefiting from collaboration between health-care institutions, industry and government. working in partnership with catalis in quebec, gsk broke new ground in achieving oncology trial startups in eight weeks — one of the fastest turnaround times in the world, says fernandes.
“it used to take months to start oncology clinical trials, but now, through vital collaboration and partnerships, we’re able to begin much more quickly. this efficiency is crucial, not just for us, but for the patients whose lives depend on timely access to innovative treatments. for oncology patients especially, where every day can make a difference, faster clinical trials can truly change outcomes.”