Skip to main content

digital health

You are here

Home > Tags > Digital Health

Tracking COVID-19 using online search data

i-sense researchers from University College London, led by Dr Vasileios Lampos, in collaboration with Public Health England, Microsoft Research, and Harvard Medical School are looking at ways of tracking COVID-19 using online search data to better understand the true extent of community spread.

Their current analysis, which uses machine learning models to make predictions of potential prevalence of COVID-19 in a population, focuses on a number of countries, including the United Kingdom, United States of America, Canada, Australia, France, and Italy.

i-sense Patient and Public Involvement

With the help of a Patient Public Involvement Starter Grant from the NIHR University College London Hospitals Biomedical Research Centre, Dr Harriet Gliddon, an i-sense Postdoc in the McKendry group, held a consultation with people who are living with HIV to understand how i-sense research developing a rapid test for HIV viral load could be used by individuals in the home and link them to digital healthcare systems.

Phones, drones, and disease; i-sense presents at a workshop at the University of Hong Kong

On 17 and 18 May 2018, i-sense members Dr Val Turbé (McKendry group at UCL) and Professor Rosanna Peeling from LSHTM were invited to take part in the ‘Phones, Drones and Disease’ workshop, organised by the Centre for the Humanities and Medicine at the University of Hong Kong.

The purpose of the workshop is to explore how digital networks are reconfiguring health, who benefits from these new technologies, who pays for them and what kinds of resistance and countervailing effects are these technologies producing.

Harnessing video technology and paper microfluidics to measure protein binding affinities

Measuring the binding affinity between the building block of life - proteins - lies at the heart of biochemistry, disease diagnostics, and drug discovery. However, despite widespread demand and potential applications, common methods rely on expensive laboratory-based equipment, such as surface plasmon resonance and interferometry.

Pages