A Study Validating the NEWS2 (National Early Warning Score) Scoring System
Preventing Unscheduled Hospitalisations from Asthma: a Retrospective Cohort Study using Routine Primary and Secondary Care Data in the UK (The PUSH-Asthma Study)
Employing Data-Driven Machine Learning Models towards Improving the Diagnosis of Acute Compartment Syndrome (ACS)
Comparing the burden of hospitalised community acquired pneumonia (CAP) before and during COVID-19 pandemic
Cancer and Stroke: Frequency, Cancer Types and Associations with Clinical Outcomes
Understanding Trajectories of Care through Hospital for People with Chronic Obstructive Pulmonary Disease (COPD) and Accompanying Health Conditions – an ADMISSION Programme Study
Understanding how raised lactate levels affect how clinicians treat patients
Sepsis Prevention in Surgery: Informing the Clinical Process through Artificial Intelligence
Mapping Acute Presentations to Hospital and Modelling Changes to Care Pathways to Develop Better Services
Emergency Hospital Admissions in Patients from Care Home Settings
Tuberculosis (TB) and COVID-19 co-infection: Investigating the Interactions between Mycobacterium Tuberculosis and SARS-CoV-2
