News

"In contrast to viruses, experts have a great responsibility to recognise borders". A column by prof. Rik Crutzen 

Helping people improve their behaviour to reduce their risk of contracting the coronavirus. That is the goal of the online tool ‘Your COVID-19 Risk’, which was launched last week. The tool was developed by an international group of 150 volunteers from 35 countries, including several CAPHRI...

The Assessment of Corona Burden Tool (Corona Ziektelastmeter), developed by Lung Foundation Netherlands and CAPHRI, helps people who were infected with the novel coronavirus to get more control over the complaints they may experience.

Fatigue, headaches, irritability, or sleep problems? These might be symptoms of stress caused by the unfamiliar demands of working from home. Angelique de Rijk studies work stress in nurses – and worries about the current situation and the transition back to normal.

In late 2019, China became the first country to be hit by the novel coronavirus pandemic, and many cities were locked down in 2020 to prevent transmission. The country’s response to the coronavirus has raised questions about control measures and establishing public accountability and trust in a non...

Researchers from the Hubrecht Institute in Utrecht, Erasmus MC University Medical Center Rotterdam, and Maastricht University in the Netherlands have found that the coronavirus SARS-CoV-2, which causes COVID-19, can infect cells of the intestine and multiply there.

SHE Collaborates is part of the Maastricht School of Health Professions Education (SHE), and in simple terms you could describe it as the ‘development cooperation department’ of the Faculty of Health, Medicine and Life Sciences. How is director Geraldine Beaujean coping now the corona crisis has...

A column by Hans Bosma, professor of Social Epidemiology.

It’s a bright spot in these dark times. Hundreds of Maastricht University medical students, from first-year students to residents, are springing into action at Maastricht UMC+.

In this ERC PoC project, we introduce fully automated software for fast, accurate, observer independent and reproducible detection and volumetric segmentation of (lung) tumours and metastases on CT images.