Chancellor’s Dialogues is part of a series of dialogues which encourage ‘disagreeing well’ and explore different perspectives on some of the most difficult issues of our time.

Anxiety over income and unfair feedback dominates working lives of delivery riders, drivers and “digital labour” workers in ...

Two groups involving researchers from the University of Cambridge’s Department of Plant Sciences are among nine teams to have ...

A machine learning algorithm developed by Cambridge scientists was able to correctly identify in 97 cases out of 100 whether or not an individual had coeliac disease based on their biopsy, new ...

Our teams are also working hard to secure much-needed philanthropic support to complement the funding committed by the NHS and the University. Generous donations will help realise our vision for this ...

What if there was a new way to treat mental illness? Depression, anxiety, PTSD and other maladies of the mind are plaguing our societies. Our medicines are now decades old, and their effectiveness is ...

We can image a tumour pre-treatment to predict how likely it is to respond, and then we can image again immediately after treatment to confirm whether it has indeed responded ...

AI has the potential to transform health and medicine. It won't be straightforward, but if we get it right, the benefits could be enormous. Andres Floto, Mihaela van der Schaar and Eoin McKinney ...

The inability of the heart to regenerate itself is a significant unmet clinical need Our selection of the week's biggest Cambridge research news sent directly to your inbox. Enter your email address, ...

A combination of two drugs could improve outcomes and reduce the need for toxic chemotherapy for B-cell acute lymphoblastic leukaemia (B-ALL), the commonest cancer in childhood and one that can be ...

Tell us about your research and the impact it is already having I am interested in how applying artificial intelligence methods on medical imaging can help us understand cancer in a lot more detail.

We found that over-activity in sgACC promotes the body’s ‘fight-or-flight’ rather than ‘rest-and-digest’ response, by activating the cardiovascular system and elevating threat responses.