Systematic review finds that machine learning models for detecting and diagnosing COVID-19 from medical images have major flaws and biases, making them unsuitable for use in patients. However, researchers have suggested ways to remedy the problem.
The sounds of languages that died thousands of years ago have been brought to life again through technology that uses statistics in a revolutionary new way.
Researchers at the University of Cambridge, in collaboration with the University of Edinburgh, have shown how a radioactive agent developed in the 1960s to detect bone cancer can be re-purposed to highlight the build-up of unstable calcium deposits in arteries, a process that can cause heart attack and stroke.
First use of PET and CT to look at disease processes leading to heart attack.
© 2025 University of Cambridge