NIHR Maudsley BRC Blog

Our latest news & events

NEWS2 evaluated for prediction of severe COVID-19 outcome in large international study

In the first systematic large-scale evaluation of the UK National Early Warning Risk Score (NEWS) 2 as a scoring system for predicting severe COVID-19 outcomes in patients, researchers at King’s College London have found poor-to-moderate accuracy for identifying patients at risk of being transferred to intensive care units (ICUs) or dying after 14 days of hospitalisation. Accuracy of predictions in short term (three days) showed moderate success.

 

By NIHR Maudsley BRC at 21 Jan 2021

CogStack to improve access to patients’ electronic health records in Australia

New technology will shortly be trialled across health centres in Victoria, Australia to improve access to patients’ electronic health records optimising healthcare delivery and health outcomes.

By NIHR Maudsley BRC at 3 Dec 2020

Can wearables like Fitbit devices be used to help detect COVID-19?

The COVID-Collab (https://covid-collab.org) research team at King’s College London have launched a free mobile app [Android] [iOS] which will allow scientists to investigate the use of wearable devices and smartphones for digital detection of COVID-19, to understand how it spreads and how the pandemic affects people's mental and physical health.

By NIHR Maudsley BRC at 24 Jul 2020

Exposure to nature in cities beneficial for mental wellbeing

Researchers at King’s College London, landscape architects J & L Gibbons and art foundation Nomad Projects have used smartphone-based technology to assess the relationship between nature in cities and momentary mental wellbeing in real time. 

By NIHR Maudsley BRC at 10 Jan 2018

Potential for machine learning to predict unknown adverse drug reactions

Research funded by the NIHR Maudsley Biomedical Research Centre, published in Scientific Reports today (Monday 27 November) shows that machine learning has the potential to predict unknown adverse drug reactions.

By NIHR Maudsley BRC at 27 Nov 2017