Employing Data-Driven Machine Learning Models towards Improving the Diagnosis of Acute Compartment Syndrome (ACS)
Investigating the Interactions of Frailty, Age and Illness Severity on Outcomes in COVID-19
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
A Study Validating the NEWS2 (National Early Warning Score) Scoring System
Understanding how raised lactate levels affect how clinicians treat patients
Antimicrobial stewardship and secondary bacterial infection in the era of COVID-19
Using machine learning techniques to estimate patient frailty levels using routine health data from hospital records.
Validating the NEWS2 Scoring System to Provide Clinicians with an Improved Understanding of the Scores Strengths and Limitations
Sepsis Prevention in Surgery: Informing the Clinical Process through Artificial Intelligence
