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Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?
(Wiley, 2024)
BACKGROUND: Familial hypercholesterolemia (FH), while highly prevalent, is a significantly underdiagnosed monogenic disorder. Improved detection could reduce the large number of cardiovascular events attributable to poor ...
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Overview of a collaborative global effort to address the burden of familial hypercholesterolaemia
(Elsevier, 2024-03)
This is an overview of the EAS Familial Hypercholesterolaemia (FH) Studies Collaboration (FHSC) global consortium and registry (established 2015), which broadly addresses the global burden of FH. Eighty-seven National Lead ...
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Health-related quality of life in non-alcoholic fatty liver disease: A cross-cultural study between Spain and the United Kingdom
(Public Library Science, 2024)
Background: It is unclear what biopsychosocial factors influence the impact of NAFLD on health-related quality of life (HRQoL), and if these factors are equally important predictors between different nationalities. Methods: ...
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Prediction of melanoma Breslow thickness using deep transfer learning algorithms
(Oxford Academic, 2023-07)
Background: The distinction between in situ melanoma (MIS) and invasive melanoma is challenging even for expert dermatologists. The use of pretrained convolutional neural networks (CNNs) as ancillary decision systems ...