Categories for News

Patients from Asian and black backgrounds are more likely to die from Covid-19, large study reveals

Patients of Asian and black backgrounds suffered disproportionate rates of premature death from Covid-19, according to a study of 1,737 patients by Barts Health NHS Trust and Queen Mary University of London. The study, published in BMJ Open, is one of the most comprehensive studies exploring COVID-19 outcomes in black, Asian and minority ethnic populations so far reported, from one of the largest...

Investigating Covid-19 in Black, Asian and minority ethnic communities

A new study, led by Barts Health NHS Trust and Queen Mary University of London seeks to understand why Black, Asian and minority ethnic communities are disproportionately affected by the Covid-19 virus. People from racial minorities are more likely to become very unwell or die from Covid-19 than those of white ethnicity. Compared to the general population, those of Black African heritage are 3.24 times more likely to die from Covid-19 and Bangladeshi populations are 2.41 times more likely...

COVID-19 testing lab goes online at Queen Mary

A new COVID-19 testing lab at Queen Mary University of London has started processing NHS Test and Trace samples from the UK population, to increase the country’s testing capacity. Scientist processing samples in the Queen Mary COVID-19 testing lab Dr Belinda Nedjai, Senior Lecturer in Molecular Epidemiology and Epigenetics at Queen Mary, who is leading the lab, said: “We’re delighted to...

AIMES launches OpenCARE platform with Barts Life Sciences CAP-AI team and UCL

AIMES, in partnership with University College London (UCL) and Barts Health NHS Trust, developed the OpenCARE platform which uses Artificial Intelligence (AI) to improve cardiovascular care. The project is supported by SBRI Healthcare, an NHS England and NHS Improvement initiative, supported by the Academic Health Science Networks (AHSNs).” Cardiologists rely on images to diagnose and treat heart disease. Some of these...

Barts Cancer Institute launches SNPnexus software

SNPnexus is an online analytical platform able to streamline complex sequencing data analysis and connect information from different sources allowing for the prioritisation of variant panels associated with disease to facilitate the promise of precision medicine. SNPnexus if freely available for academic and non-profit use only. If you are a commercial user/service provider, or if you are interested in a...

Barts Life Sciences is recruiting 3 academic chairs in computer health sciences

As members of Barts Life Sciences (BLS) – a partnership between Queen Mary and Barts Health NHS Trust – Professors Claude Chelala (CRUK Barts Centre) and Carol Dezateux (IPHS) are – with the generous support of Barts Charity – leading a new initiative to embed computer sciences at a senior level within Queen Mary’s SMD to catalyse innovative precision medicine and population health research. We are recruiting three new professors in computer health sciences...

CAP-AI project feature – interview with Barts Healthcare Scientist Musa Abdulkareem

  Dr Musa Abdulkareem is Principal Research Scientist on the Barts Life Sciences CAP-AI programme, where he has been working with Professor Steffen Petersen from Queen Mary University of London to use Artificial Intelligence in analysing cardiac MRI scans. In this Q&A, Dr Abdulkareem reflects on the progress of the project over the last 15 months and talks about his...

Queen Mary University of London, as part of the Barts Life Sciences partnership, receives UKRI funding for data-driven healthcare in East London

UK Research and Innovation (UKRI) has awarded funding to Queen Mary University of London, as part of the Barts Life Sciences partnership, to develop a proposal for data-driven next generation healthcare in Whitechapel. Led by Barts Life Sciences, the project will harness artificial intelligence and data technology to provide better healthcare for patients living in East London, specifically Whitechapel, where chronic health problems are significantly...

Barts Life Sciences CAP-AI diabetic foot project research information for patients

In this project we are interested in preventing diabetic foot disease. 1 in 10 patients with diabetes will get a foot ulcer but some of these will not-fully heal, recur, or become infected and may eventually require a lower limb amputation. We know some factors that increase risk of developing diabetic foot – such as smoking, poor blood circulation and...