Publications by authors named "T Redgrave"

Introduction: While the fact that visual stimuli synthesized by Artificial Neural Networks (ANN) may evoke emotional reactions is documented, the precise mechanisms that connect the strength and type of such reactions with the ways of how ANNs are used to synthesize visual stimuli are yet to be discovered. Understanding these mechanisms allows for designing methods that synthesize images attenuating or enhancing selected emotional states, which may provide unobtrusive and widely-applicable treatment of mental dysfunctions and disorders.

Methods: The Convolutional Neural Network (CNN), a type of ANN used in computer vision tasks which models the ways humans solve visual tasks, was applied to synthesize ("dream" or "hallucinate") images with no semantic content to maximize activations of neurons in precisely-selected layers in the CNN.

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Objective: To determine the spectrum of mutations associated with familial hypercholesterolaemia (FH) and their detection rate in the FH Western Australia (FHWA) Program.

Methods: Mutation testing of the LDLR gene, plus select regions in APOB and PCSK9, was performed in the first 343 patients considered to be phenotypic index cases of FH and classified on the basis of the Dutch Lipid Clinic Network Criteria (DLCNC) score as "possible", "probable", or "definite" FH.

Results: Overall, 86 different pathogenic (or likely pathogenic) mutations were identified in 129 patients, including four compound heterozygotes manifesting a more severe clinical phenotype.

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Familial hypercholesterolaemia (FH) is a dominantly inherited disorder present from birth that causes marked elevation in plasma cholesterol and premature coronary heart disease. There are at least 45,000 people with FH in Australia and New Zealand, but the vast majority remains undetected and those diagnosed with the condition are inadequately treated. To bridge this major gap in coronary prevention the FH Australasia Network (Australian Atherosclerosis Society) has developed a consensus model of care (MoC) for FH.

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Background And Aim: Non-alcoholic steatohepatitis (NASH) belongs to a spectrum of non-alcoholic fatty liver disease (NAFLD). Oxidative stress is hypothesized to play an important role in the progression of the disease. We used the Lieber/DeCarli model for NASH to investigate the mechanisms involved in its progression.

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Post-prandial lipaemia has emerged as a key contributor to cardiovascular disease (CVD) risk and progression. Specifically, delayed clearance of chylomicrons (CM) and their remnants increase the delivery of triglyceride and cholesteryl ester to the vessel wall and can accelerate the progression of atherosclerosis, which may be particularly pertinent to individuals with insulin resistance and/or obesity. As the number of studies linking post-prandial metabolism and chronic disease increases, interest has grown in the use of parameters reflecting CM metabolism as a possible indicator of early CVD risk.

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