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
Miniaturised biosensors with high selectivity . This project aims to develop a technological platform for the fabrication of miniaturised and flexible sensors that enable the quantitative detection of important bioactive compounds such as fatty acids and biogenic amines. By utilising multi-enzymatic reactions in solid phase and engineering task-specific inks, chemiresistive sensors will be printed seamlessly as a whole. The sensors will respond to complex target biomolecules via a series of enzy ....Miniaturised biosensors with high selectivity . This project aims to develop a technological platform for the fabrication of miniaturised and flexible sensors that enable the quantitative detection of important bioactive compounds such as fatty acids and biogenic amines. By utilising multi-enzymatic reactions in solid phase and engineering task-specific inks, chemiresistive sensors will be printed seamlessly as a whole. The sensors will respond to complex target biomolecules via a series of enzymatic reactions through which the analyte will convert to much simpler, reactive and hence measurable molecules. This project will enable to design miniaturised sensors for point-of-care detection of biomolecules that cannot be yet evaluated by the end users.Read moreRead less
Closing the data gap: High throughput screening of nanoparticle toxicity. The nanotechnology sector is experiencing an exponential growth period with over 100 products containing manufactured nanoparticles entering the market every year. Ensuring growth of the sector needs to be balanced against the imperative of protecting both human and environmental safety. This project aims to develop new methodological and conceptual avenues to close the gap between innovation in nanotechnology and risk ass ....Closing the data gap: High throughput screening of nanoparticle toxicity. The nanotechnology sector is experiencing an exponential growth period with over 100 products containing manufactured nanoparticles entering the market every year. Ensuring growth of the sector needs to be balanced against the imperative of protecting both human and environmental safety. This project aims to develop new methodological and conceptual avenues to close the gap between innovation in nanotechnology and risk assessment. This is intended to be achieved by developing and validating high-throughput in vitro toxicity screening platforms for manufactured nanoparticles. The approach is based on advanced lab-on-a-chip microfluidic technologies. The predictive power of the platform will be refined and optimised via ex-vivo and in-vivo models.Read moreRead less