The buzz around artificial intelligence (AI) in drug discovery is undeniable, but a major bottleneck remains. There are no openly available, high-quality, large-scale datasets needed to train machine learning (ML) models

There is an urgent need amongst healthcare researchers for creative solutions to address the challenges of caring for our growing aging population in diverse healthcare settings, including the need to predict

Certificates that are equipping hundreds of professionals with skills in data science and machine learning software have received a vote of confidence with renewed investment from their government partner.  Following a

Photo (L-R): Rahul G. Krishnan (Assistant Professor, Computer Science and Laboratory Medicine and Pathobiology, Faculty of Arts & Science, Faculty of Medicine, University of Toronto and Faculty Member, Vector Institute); Mamatha

While data science is driving breakthroughs in countless areas, the lack of availability of experimental training data has limited its impact on drug discovery. In particular, there is a need to

At once navigating both the hazards of high-volume car traffic and dilapidated or non-existent urban biking infrastructure, many cyclist commuters in Toronto and Montreal – among other major cities in North