Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be analysed in just one minute using a new AI tool developed by researchers at the University of Cambridge.

An AI tool that can analyse abnormalities in the shape and form of blood cells, and with greater accuracy and reliability than human experts, could change the way conditions such as leukaemia are diagnosed. 

Cambridge researcher Dr Miles Cranmer is one of 28 researchers worldwide to receive an AI2050 fellowship from Schmidt Sciences, awarded to researchers studying how to fulfil AI’s potential to benefit humankind.

Researchers have developed an AI-powered ‘scientific assistant’ designed to accelerate the scientific process by helping them identify new research questions, analyse and interpret data, and produce scientific documents.