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of financial risk management and climate security For more info please contact Professor Brown: [email protected] [1] Workman, M.H.W., et al., 2020. Decision making in contexts of deep uncertainty
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, 2023 [2] Chen, Chen, et al. "Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction." 2024 View DetailsEmail EnquiryApply Online
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associated with a 3-6 times greater mortality risk than found in people of the same age and sex. The difference in mortality between patients with FND / FS and others seems to be explained by increased rates
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. This project aims to develop validated computational models of the foot and ankle, and investigate the biomechanical parameters impacting successful bone healing while reducing the risk of fixation
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means that babies born as early as 28 weeks gestation now have an 80-90% chance of surviving to adulthood. Nonetheless, premature babies have an increased risk of growing up with disabilities such as
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SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications
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(around 20%) there is a change in a gene that causes the MND. This gene change, can pass from parent to child, so that there is a ½ chance of a person with MND having a child who also has MND. Some people
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-of-sample failure and rich data demand. ML models grounded by explainable theory stand a better chance against learning spurious patterns from data that lead to non-generalizable performance. Moreover
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. This area is of vital importance to improving the comfort of products, reducing damage to skin, preventing complications from medical treatment and in reducing the risk of infection especially in older
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for, the global building stock. It will consider regional confluence of climate anomalies (e.g. consecutive dry days) at different geographical scales to identify specific regions at risk, and quantify constituent