Announcing the launch of the HDRUK Phenotype Library

A new powerful tool is now on the table for health data research. Launching today, 4th November 2021,  The HDRUK Phenotype Library is a comprehensive, open access resource providing the research community with information, tools and phenotyping algorithms for UK electronic health records. https://phenotypes.healthdatagateway.org/...

Exciting new paper just out

Desiderata for the development of next-generation electronic health record phenotype libraries: https://academic.oup.com/gigascience/article/10/9/giab059/6368631?login=true...

HIC support this Joint Statement from the Medical and Social Research Community

GP health data are crucial for the planning and provision of health services and to enable research discoveries that save and improve people’s lives   Combatting the COVID-19 pandemic has depended upon the ability to collect, link, access and use health data for research. It has allowed the NHS to identify and protect millions of people at high risk from COVID-19, to deliver and monitor the safety and effectiveness of the COVID-19 vaccination programme, and to identify life-saving treatments for COVID-19, including dexamethasone. These benefits must not stop with COVID-19. They must also ex...

HIC are to lead and collaborate on 3 major new projects researching chronic pain

HIC are delighted to announce their leadership and collaboration in 3 major new projects researching chronic pain. University of Dundee scientists and clinicians have secured £5 million in funding to aid research that aims to establish the causes of vulnerability to chronic pain and advance treatment. Two Dundee-led projects within the University’s School of Medicine have been awarded the funds by the Advanced Pain Discovery Platform (APDP), a funding mechanism created by UKRI, Versus Arthritis and Eli Lily. Chronic pain affects millions of people in the UK and is often link...

Using machine learning approaches for multi-omics data analysis

Excited to announce a new publication lead by HIC: Using machine learning approaches for multi-omics data analysis: A review...