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avoiding virtual obstacles as if they were real) are a good alternative offering objective evidence of a presence response to a VR system. Yet measuring behavioural responses is time-consuming and
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data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up opportunities for a dynamic, ‘Learning Health System’ – where data can be
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data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up opportunities for a dynamic, ‘Learning Health System’ – where data can be
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groups to specific foods, rather than considering individual glycemic responses. This project aims to develop an AI-driven, personalised diabetes management system using a mobile app to rate foods
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persuasion. The project will then design a defensive framework that can measure the psychological profiling risk of a user’s online footprint. For example, the system may analyse whether a set of posts
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persuasion. The project will then design a defensive framework that can measure the psychological profiling risk of a user’s online footprint. For example, the system may analyse whether a set of posts
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model system for the study of self-organised behaviour. An ant colony must solve complex task allocation problems: a broad spectrum of tasks, from nest building, hygiene, and brood care to foraging
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and scale unattainable by manual review, leading to better health care for patients. The project aims to: Design and develop a system that integrates mental health data in different formats from
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model system for the study of self-organised behaviour. An ant colony must solve complex task allocation problems: a broad spectrum of tasks, from nest building, hygiene, and brood care to foraging
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and scale unattainable by manual review, leading to better health care for patients. The project aims to: Design and develop a system that integrates mental health data in different formats from