Machine Learning Techniques in Supporting Clinical Decision-making in Community Acquired Pneumonia (CAP)
Understanding kidney problems after severe lung illness (acute respiratory distress syndrome), with and without COVID-19
Using artificial intelligence to support safer antibiotic prescribing and tackle antibiotic resistance
Investigating the incidence, risk factors and source of hospital acquired bacteraemia and candidemia (HABC) in ventilated COVID 19 patients
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
