Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown. The team showed that an algorithm could be trained to identify drug-resistant bacteria correctly from microscopy images alone.

The beauty of the machine learning model is that it can identify resistant bacteria based on a few subtle features on microscopy images that human eyes cannot detect

            - Tuan-Anh Tran

Researchers have used artificial intelligence techniques to massively accelerate the search for Parkinson’s disease treatments.

The researchers, from the University of Cambridge, designed and used an AI-based strategy to identify compounds that block the clumping, or aggregation, of alpha-synuclein, the protein that characterises Parkinson’s.

"Machine learning is having a real impact on drug discovery – it’s speeding up the whole process of identifying the most promising candidates"

Michele Vendruscolo