A computer vision technology developed by University of Cambridge engineers has now been developed into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.

The app uses computer vision techniques to read and record the glucose levels, time and date displayed on a typical glucose test via the camera on a mobile phone.

Researchers at Karolinska Institutet in Sweden have explored all COVID-19 research published during the initial phase of the pandemic. The results, which were achieved by using a machine learning-based approach and published in the Journal of Medical Internet Research, will make it easier to direct future research to where it is most needed.

Bristol scientists have demonstrated a new virtual reality [VR] technique which should help in developing drugs against the SARS-CoV-2 virus - and enable researchers to share models and collaborate in new ways. The innovative tool, created by University of Bristol researchers, and published in the Journal of Chemical Information and Modeling, will help scientists around the world identify anti-viral drug leads more rapidly.

An innovative nanoparticle vaccine candidate for the pandemic coronavirus produces virus-neutralizing antibodies in mice at levels ten-times greater than is seen in people who have recovered from COVID-19 infections. Designed by scientists at the University of Washington School of Medicine in Seattle, the vaccine candidate has been transferred to two companies for clinical development.

COPD is a common respiratory condition and one of the top causes of hospital admissions each year, particularly during winter months. In the UK it accounts for over 140,000 hospital admissions and one million bed days at a major cost to the NHS.

At a time when fewer people are able to access face-to-face consultations with their GPs and elderly patients with conditions such as COPD need are shielding, these are very encouraging findings for the future of digital health services.

Examining data from the first six weeks of their landmark DETECT study, a team of scientists from the Scripps Research Translational Institute sees encouraging signs that wearable fitness devices can improve public health efforts to control COVID-19.

The DETECT study, launched on March 25, uses a mobile app to collect smartwatch and activity tracker data from consenting participants, and also gathers their self-reported symptoms and diagnostic test results.

Non-generic queries in the online tool Google Trends may yield better insight into health information-seeking behavior, according to a new study by researchers from the George Washington University (GW).

Google TrendsTM analyzes the popularity of top Google queries geographically and longitudinally. More recently it has been used as a surveillance and retrospective epidemiological tool to study the impact of COVID-19 around the world.