Researchers develop deep knowledge AI system that could resolve bottlenecks in drug research

Researchers at the University of Waterloo have developed a new system that could significantly speed up the discovery of new drugs and reduce the need for costly and time-consuming laboratory tests.

The new technology called Pattern to Knowledge (P2K) can predict the binding of biosequences in seconds and potentially reduce bottlenecks in drug research.

Professor Andrew Wong, Systems Design Engineering, and founder of the Centre for Pattern Analysis and Machine Intelligence (CPAMI), along with co-inventor Antonio Sze-To and research associates Peiyuan Zhou, and Jieming Li.