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

Wednesday, November 7, 2018

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.

Andrew Wong, Antonio Sze-To, Peiyuan Zhou, Jieming Li

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.

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