Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.
CT scan images

Work led by Dr Charalambos Antoniades (Radcliffe Department of Medicine) shows that new artificial intelligence (AI) technology to scan for heightened blood vessel inflammation can calculate a person’s risk of death from Covid-19 and Covid-19 variants. The technology could be used to tailor their treatment and give them the best chance of recovery, according to new research funded by the British Heart Foundation (BHF) and presented at the British Cardiovascular Society's 2021 conference.

Severe cases of Covid-19 have been associated with a ‘cytokine storm’, where the virus spike protein causes the immune system to go into overdrive and produces a surge of damaging molecules called cytokines.

Now, by using routine chest CT scans, researchers at the Radcliffe Department of Medicine have developed a Covid-19 ‘signature’ using machine learning. The ‘signature’ detects biological red flags in the fat surrounding the blood vessels in the chest to measure the level of cytokine-driven vascular inflammation in people infected with the virus.

Read the full story on the Radcliffe Department of Medicine website.

Similar stories

Oxford University academics recognised in Queen’s Birthday Honours

The pioneering work of members of the University, including research into tackling the Coronavirus pandemic, has been recognised in The Queen's Birthday Honours List.

Two Oxford Professors elected as EMBO Members

Professor Robert Klose and Professor Ervin Fodor are two of 64 life scientists to be elected to The European Molecular Biology Organization (EMBO).

Scientists make DNA breakthrough which could identify why some people are more affected by Covid-19

Scientists from the MRC Weatherall Institute of Molecular Medicine at Oxford University have developed a method that allows them to see, with far greater accuracy, how DNA forms large scale structures within a cell nucleus.

AI endoscopy enables 3D surface measurements of pre-cancerous condition in oesophagus

Clinicians and engineers in Oxford have begun using artificial intelligence alongside endoscopy to get more accurate readings of the pre-cancerous condition Barrett’s oesophagus and so determine patients most at risk of developing cancer.

The COVID-19 International Modelling Consortium (CoMo Consortium) enters a new phase

Created in March 2020 to assist policymakers to make use of existing evidence in mathematical and epidemiological models to inform strategies for minimising the impact of COVID-19, the CoMo Consortium brings together mathematical modellers, epidemiologists, health economists and public health experts from more than 40 countries across Africa, Asia and South and North America.

New Head of the Department of Psychiatry – Professor Belinda Lennox

Professor Belinda Lennox has been welcomed to the role of Head of the Department of Psychiatry at the University of Oxford and will take over leadership in October 2021.