Area of research
Radiology, Nuclear Medicine and Imaging · Cardiology and Cardiovascular Medicine
Research interest
Background: Sport and exercise medicine (SEM) is a multidisciplinary field that integrates expertise from various healthcare professionals to optimise athletic performance and promote physical activity for chronic disease prevention and management. Australian pharmacists are well-positioned to contribute to SEM, yet their roles remain undefined beyond niche areas like anti-doping. Interdisciplinary collaboration, particularly with physiotherapists, is also underexplored. This study investigates pharmacists' engagement in SEM and pharmacist-physiotherapist collaboration, using the Capability, Opportunity, Motivation¿Behaviour (COM[sbnd]B) model to explore behavioural components.
Invasive vs Conservative Strategy for Frail Older Patients With Myocardial Infarction
Coronary CT angiography-guided management of patients with stable chest pain: 10-year outcomes from the SCOT-HEART randomised controlled trial in Scotland
Coronary CT angiography evaluation with artificial intelligence for individualized medical treatment of atherosclerosis: a Consensus Statement from the QCI Study Group
Impact of diabetes mellitus on coronary artery plaque characteristics and outcomes in the SCOT-HEART trial
Gene therapy in cardiac and vascular diseases: a review of approaches to treat genetic and common cardiovascular diseases with novel gene-based therapeutics
Machine learning to optimize use of natriuretic peptides in the diagnosis of acute heart failure
Prevention of Adverse Cardiovascular Events Using the 23-Valent Pneumococcal Polysaccharide Vaccine: A Randomized Clinical Trial.
First-in-human controlled inhalation of thin graphene oxide nanosheets to study acute cardiorespiratory responses
Personalized Intervention Based on Early Detection of Atherosclerosis
Aortic Valve Replacement vs Clinical Surveillance in Asymptomatic Severe Aortic Stenosis
Lipoprotein(a) and Calcific Aortic Valve Stenosis Progression
Environmentally Not So Friendly: Global Warming, Air Pollution, and Wildfires
Rationale and design of the early valve replacement in severe asymptomatic aortic stenosis trial
Uniform or Sex-Specific Cardiac Troponin Thresholds to Rule Out Myocardial Infarction at Presentation
Water, Soil, Noise, and Light Pollution
Computed tomographic angiography measures of coronary plaque in clinical trials: opportunities and considerations to accelerate drug translation
Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations
Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography
Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
National Trends in Coronary Artery Disease Imaging
Somatostatin Receptor PET/MR Imaging of Inflammation in Patients With Large Vessel Vasculitis and Atherosclerosis
Multi-modality imaging in aortic stenosis: an EACVI clinical consensus document
Effects of oral anticoagulation in people with atrial fibrillation after spontaneous intracranial haemorrhage (COCROACH): prospective, individual participant data meta-analysis of randomised trials
Implementation of a high sensitivity cardiac troponin I assay and risk of myocardial infarction or death at five years: observational analysis of a stepped wedge, cluster randomised controlled trial
Persistence of Detectable Anti-Pneumococcal Antibodies 4 Years After Pneumococcal Polysaccharide Vaccination in a Randomised Controlled Trial: The Australian Study for the Prevention through Immunisation of Cardiovascular Events (AUSPICE).
Pericoronary Adipose Tissue Attenuation, Low-Attenuation Plaque Burden, and 5-Year Risk of Myocardial Infarction
Development and validation of a decision support tool for the diagnosis of acute heart failure: systematic review, meta-analysis, and modelling study
Influence of Age on the Diagnosis of Myocardial Infarction
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis