Photo courtesy of Faculty of Applied Sciences and Engineering, University of Toronto (credit: Neil Ta) By: Cormac Rea A major challenge for the Canadian healthcare system involves creating biomedical implants such

By: Sofia Mellou 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

By: Cormac Rea 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

By: Cormac Rea 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

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

By: Cormac Rea 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