This project is developing a framework for clinical-related datasets, enabling phenotype-based patient and disease classification to support clinicians and healthcare staff to deliver patient care. The project will also look at developing a digital learning health system for hypertrophic cardiomyopathy (HCM) as well as integrating semantically enhanced rare-disease registries including patients’ phenotypic and genomic data.
New research questions reliability of studies into Lassa fever drug
28 February 2023
Researchers identified and re-analysed a series of studies to assess the reliability of the evidence backing the use of ribavirin as a treatment for Lassa fever.
Early Warning (NEWS2) Scores to Predict Risk of Severe COVID-19
16 February 2023
Researched used nationwide patient data to evaluate the effectiveness of the NEWS2 score for predicting who was at greatest risk of intensive care.
COVID-19 mortality risk for inflammatory arthritis patients: a cohort study using SAIL Databank
24 November 2022
A study of inflammatory arthritis (IA) patients found that shielding reduced the incidence of COVID-19. IA was not associated with an increased risk of dying within 28 days, but being vulnerable...