Innovation

Professor Brian Hie (centre) leads the team developing the open-source Evo 2 AI that develops new genome patterns. He is flanked by team members Michael Poli (left) and Garyk Brixi. Credit: Stanford Report/Andrew Brodhead

Pharmaceutical companies started using AI in the 1980s to model molecules and predict chemical structures.

In the 2000s, according to the paper Artificial Intelligence Applications in Drug Discovery and Drug Delivery, machine learning started to analyse complex and large data sets that helped streamline pharmaceutical research. Big data and deep learning led the way in the 2010s, integrating AI more into medical research, and recently, AI has started to accelerate medical research in massive strides.