Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Early Disease Detection"”.
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Temporal Reasoning in Clinical Narratives: From Information Extraction to Early Disease Detection
Timely and accurate prediction of chronic disease risk, such as Type 2 Diabetes, requires models that can reason over complex, longitudinal clinical narratives. This thesis presents a unified framework for temporally grounded patient modeling that integrates structured event representations, …
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Photonic crystal enhanced fluorescence for single-molecule biosensing and early disease detection
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
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The use of infrared thermography and behavioural and physiological responses as early disease indicators in calves
Disease is widely acknowledged to be detrimental to an animal’s welfare and generates significant economic losses. To minimise the impact of disease on animal welfare and consequently reduce economic costs, early disease detection is essential for promoting earlier diagnosis, treatment and …
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Graphene supported hafnium oxide nanopores for DNA sensing
… the genetic makeup of organisms is crucial for early disease detection, one of the driving forces behind personalized medicine. In this work, state-of-the-art sequencing technologies are reviewed and compared with next-generation sequencing technologies. In particular, solid-state nanopores are …
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The Role of the Clinical Nurse Leader in Reintroducing and Sustaining a Successful Cancer Risk Assessment Program in a Community Hospital Setting
… improvements in patient outcomes related to early disease detection, the recommendation to the institution is therefore to invest in implementing a comprehensive cancer risk assessment program.</p>
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How can AI-powered business intelligence systems help veterinary practices implement personalized preventive care strategies while improving client satisfaction and revenue streams?
… findings reveal that AI-powered tools can aid in early disease detection, streamline workflow, and improve clinical decision-making. However, barriers such as limited data quality, lack of staff training, and concerns over cost and ethical regulation remain significant. The research also …
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Big data technology adoption in dairy and beef production
… However, because this technology is in an early stage, little is known about farmer perceptions and determinants for its adoption. A qualitative study identifies current dairy farmers’ current perceptions, barriers, motivators, features, and benefits expected from the adoption of big data …
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The use of activity measures in combination with physiological factors as indicators of disease in dairy cattle
… with physiological factors, can be used for early disease detection in dairy cattle. An initial study determined the impact of flunixin meglumine (FM), a non-steroidal anti-inflammatory drug, on activity measures, dry matter intake (DMI) and milk production during experimentally induced …
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Proteomic Analysis of Plasma Membrane Proteins from Drug Susceptible and Drug Resistant Breast Cancer Cell Lines
… in different types of cells or different disease states of the same cell or tissue type can help to design targeted therapies specific to particular cell or tissue types and can be used in the identification of biomarkers for early disease detection. In order to be able to identify …
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Virtual reality navigation assessment and 7 tesla MR imaging of the entorhinal-hippocampal circuit in asymptomatic at-risk Alzheimer's disease
… alterations of brain function in Alzheimer’s disease (AD) is critically important for early disease detection and future use of disease-modifying drugs to delay progression to dementia. Given that AD-related neurodegeneration is first observed in the entorhinal cortex (EC), and that EC neurons …
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Design and Development of Emerging Platforms for Personal Healthcare
… oral health monitoring, and biomarker detection. A wearable graphene-based strain gauge was developed to classify silent speech using machine learning algorithms. Two sensor designs were evaluated: an initial Lycra-based sensor, which demonstrated the feasibility of the approach, and an …
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AI-Enabled Clinical Decision Support for Oral Disease Detection
… component of global public health, with dental diseases such as caries, periodontal conditions, periapical lesions, and impacted teeth affecting millions of individuals annually. These conditions not only lead to pain, infection, and tooth loss but are also linked to systemic health issues, …
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Enabling the Development of Sustainable Aquaculture in Qatar
… susceptible to a number of challenges including disease emergence. In Qatar, aquaculture is still developing and presents specific challenges given that it is set in an arid region with limited water resources and an extreme environment with high temperature and salinity. The main aims of this …
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Toward effective and generalisable machine learning for biosignal time series
… advance personalised health monitoring, improve early disease detection, and support the development of scaleable and cost-effective healthcare solutions. However, analysing such data presents significant challenges due to its complex nature, as signals are often sparse, irregular, contain …
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Enabling the Development of Sustainable Aquaculture in Qatar
… susceptible to a number of challenges including disease</p><p dir="ltr">emergence. In Qatar, aquaculture is still developing and presents specific challenges</p><p dir="ltr">given that it is set in an arid region with limited water resources and an extreme</p><p dir="ltr">environment with high …
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Development of a smart bolus system for multi-parameter monitoring of bovine welfare
… and embedded systems for future facilitation of early disease detection. The first-generation PULSE prototype represented a significant advancement in livestock health monitoring, incorporating multiple sensors, including temperature and acceleration sensors, as well as a selection of …
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The use of implantable microchips for body temperature collection in cattle
… during the periparturient phase (parturition and early lactation disease detection) and around the time of estrus. In the first experiment it was hypothesized that in response to lipopolysaccharide (LPS) challenge, temperature patterns from three radio frequency implants (RFI) at three peripheral …