NIHR Oxford Biomedical Research Centre

Enabling translational research through partnership

MENUMENU
  • About
    • About the NIHR Oxford Biomedical Research Centre
    • Activities during COVID-19
    • Strategic Partnership Board
    • Steering Committee
    • Promoting Equality, Diversity and Inclusion in Research
    • Current Vacancies
    • Contact Us
    • Stay in Touch
  • Research
    • Research Themes Overview
    • Cancer
    • Cardiovascular Medicine
    • Digital Health from Hospital to Home
    • Gene and Cell Therapy
    • Genomic Medicine
    • Imaging
    • Inflammation across Tissues
    • Life-saving Vaccines
    • Metabolic Experimental Medicine
    • Modernising Medical Microbiology and Big Infection Diagnostics
    • Musculoskeletal
    • Preventive Neurology
    • Respiratory Medicine
    • Surgical Innovation, Technology and Evaluation
    • Translational Data Science
  • Patient & Public Involvement
    • Getting involved with research
    • View and register for involvement opportunities
    • Patient & Public Groups
    • Patient and Public Involvement Advisory Group
    • Diversity in Research Group
    • Oxford Blood Group
    • Case Studies
    • PPIE Strategy
    • PPIE News
    • PPI Researcher Guidance
    • Researchers: Post a PPIE opportunity
  • Training Hub
    • Training Hub Overview
    • Clinical Academic Pathway
    • Internships
    • Preparatory Research Fellowships
    • Senior Research Fellowships
    • Research Training Bursaries
    • Doctoral Awards
    • Post-Doctoral Awards
    • Other funding
    • Leadership Training
    • Useful Links
    • Training and Education Resources
    • Upcoming Training Events & Courses
  • Industry
    • Collaborate with Oxford BRC
    • Who Do We Work With?
    • Events
    • Further Information and Additional Resources
    • Contacts for Industry
  • Videos
  • News
  • Events
Research Theme

Translational Data Science

You are here: Home > Research Themes Overview > Translational Data Science

Translational Data Science

Theme Lead Cecilia Lindgren

Co-theme Lead Martin Landray

Data science is transforming healthcare; combining statistical analysis and machine learning to patient records and research data allow us to identify opportunities to improve the delivery of care and evaluate if they are working.

The challenge of our theme is to develop the applied data science needed for high-quality, large-scale research that will lead to improvements in healthcare.

Our theme is using data to push forward innovation, increase efficiency in the NHS and improve the quality of care that patients experience. Among our priorities are improving care pathways, tackling healthcare inequalities and improving patient safety, with a particular focus on cancer and cardiovascular medicine but including many other common diseases such as diabetes and mental health.

We are extremely collaborative and are working closely with other BRC themes, universities and NHS trusts across the UK as well as several industry partners. Patients and members of the public are involved at every stage of our work, including the design and delivery of research projects.

Many of our researchers are based at the world-leading Big Data Institute, while our host NHS trust, Oxford University Hospitals (OUH) has a state-of-the-art data platform, with a secure warehouse that links clinical and research data from hospitals, primary and social care, allowing BRC researchers to use data in a near-clinical setting under NHS governance.

Clinical informatics experts from the Oxford BRC were the driving force behind the successful RECOVERY Trial, the world’s largest trial looking at potential COVID-19 treatments, which recruited 43,000 participants across 180 NHS sites and identified three effective treatments – and ruled out several more. They also developed the science that underpinned the NHS Test and Trace App.

Our research is organised into four sub-themes:

Sub-theme 1: Healthcare observation and transformation

Led by Professor Jim Davies and Professor Eva Morris

We are looking at how we can use patient data to drive improvements in care and outcomes across the NHS. Read more

Sub-theme 2: Deep phenotyping

Lead: Professor Thomas Nichols

Using data with untapped potential to augment existing methods and deliver better outcomes for patients. Read more

Sub-theme 3: Translational genomics

Lead: Professor Cecilia Lindgren

We will use the genomic information taken from large patient cohorts and combine it with other data to better predict risk and stratify patients. Read more

Sub-theme 4: Clinical trials and evaluation

Lead: Professor Martin Landray

We are developing the methodology and evaluation techniques to carry out large-scale trials using routinely collected data. Read more

Translational Data Science

  • Translational Data Science
  • Sub-theme 1: Healthcare observation and transformation
  • Sub-theme 2: Deep phenotyping
  • Sub-theme 3: Translational genomics
  • Sub-theme 4: Clinical trials and evaluation
  • Contacts
  • Videos
  • News

Subscribe to the Oxford BRC Newsletter

Keep informed about the work of the Oxford BRC by subscribing to our Mailchimp e-newsletter. It is produced several times a year and delivers news and information about upcoming events straight to your inbox.

Subscribe Now

Oxford BRC on Social Media

  • Facebook
  • LinkedIn
  • Twitter
  • YouTube

Feedback

We’d love to hear your feedback. Please contact us at obrcenquiries@ouh.nhs.uk

  • Data Control and Privacy
  • Accessibility
  • Our Partners
  • Disclaimer
  • Contact

Copyright © 2023 NIHR Oxford Biomedical Research Centre