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Research Theme

Translational Data Science

You are here: Home > Research Overview > Translational Data Science > Sub-theme 4: Clinical trials and evaluation

Sub-theme 4: Clinical trials and evaluation

Lead: Professor Martin Landray

Professor Landray was joint chief investigator of the 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. The RECOVERY Trial was widely praised and considered an ideal model for similar large-scale clinical trials for a range of conditions.

Based on what we learned during the RECOVERY Trial model – in terms of design, methodology, delivery and evaluation techniques – we are building the infrastructure to support other trials based routinely-collected data. This will enable us to ‘bring the trial to the patient’, wherever they are in the country.

We are developing techniques for using datasets to help ensure that trial populations are representative of the patient population as a whole and that results are translated into practice across the NHS, after being adopted by the relevant regulatory bodies.

A major collaboration for our theme is with the SYMPLIFY trial, which is using routinely-collected data on 6,000 participants to support the evaluation of the new Galleri multi-cancer diagnostic test. The resulting methodology will reduce the cost and accelerate the delivery of the trials needed to transform and optimise care in the NHS.

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
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