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Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration.
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Guangzhou Cadre and Talent Health Management Center, Guangzhou, China.
Background: Large language models have shown remarkable efficacy in various medical research and clinical applications. However, their skills in medical image recognition and subsequent report generation or question answering (QA) remain limited.
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Background: Determining the precise genetic mechanisms that contribute to LOAD, both in coding and noncoding variants, will enable a deeper understanding of pathogenesis and advance preclinical models for the testing of targeted therapeutics.
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Illinois Institute of Technology, Chicago, IL, USA.
Background: Intracranial atherosclerosis is a common age-related neuropathology that has been linked to cognitive decline and dementia and often mixed with Alzheimer's and other neuropathologies. But the association of atherosclerosis with brain morphometric abnormalities has not been explored. This work combined Deformation-based morphometry on ex-vivo MRI with detailed neuropathological examination in a large number of community-based older adults to investigate the association.
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December 2024
Illinois Institute of Technology, Chicago, IL, USA.
Background: Elevated iron in brain is a source of free radicals that causes oxidative stress which has been linked to neuropathologies and cognitive impairment among older adults. The aim of this study was to investigate the association of iron levels with transverse relaxation rate, R, and white matter hyperintensities (WMH), independent of the effects of other metals and age-related neuropathologies.
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Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
Background: Alzheimer's disease (AD) is a heterogenous disease with a strong heritability. Genetic studies are of irreplaceable value in elucidating the mechanisms that underly this disease. The classical genome-wide association studies (GWAS) rely on ever-increasing sample sizes and utilize clinical AD diagnosis to investigate genetic risk.
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