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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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-Height Ratio (KBR) have shown promise in predicting patient outcomes. While skeletal muscle measurements like PMD are valuable, the inclusion of organ metrics such as KBR suggests a comprehensive approach
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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially
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simulations predict millions to hundreds of millions of stellar-mass black holes roaming through our Galaxy. However, there are only ~100 found so far. It is not currently clear whether this stark gap is due
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Cohort Studies Research Support Program (2024) to undertake a program of work into dementia risk prediction and reduction in WA and nationally. We have secured funds to engage with a design team to develop
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different conditions of structures for condition monitoring and response prediction under various loading scenarios. Rapid structural evaluation can be conducted with the developed digital twin and identified