Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, avia ....Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100068
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This pr ....Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This project aims to harness cells’ exquisite biological properties to improve current detection techniques. It will integrate liposome-based sensors with microfluidics to perform analytical tasks ranging from food safety to diagnostics.Read moreRead less