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Comparison of the amyloid plaque proteome in Down syndrome, early-onset Alzheimer's disease, and late-onset Alzheimer's disease.
Acta Neuropathol
January 2025
Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Down syndrome (DS) is strongly associated with Alzheimer's disease (AD) due to APP overexpression, exhibiting Amyloid-β (Aβ) and Tau pathology similar to early-onset (EOAD) and late-onset AD (LOAD). We evaluated the Aβ plaque proteome of DS, EOAD, and LOAD using unbiased localized proteomics on post-mortem paraffin-embedded tissues from four cohorts (n = 20/group): DS (59.8 ± 4.
View Article and Find Full Text PDFAmyloid-related changes in fluency in patients with subjective cognitive decline.
Alzheimers Dement (Amst)
January 2025
Alzheimer Center Amsterdam, Neurology Amsterdam University Medical Center Amsterdam the Netherlands.
Introduction: We examined semantic and phonemic fluency in individuals with subjective cognitive decline (SCD) in relation to amyloid status and clinical progression.
Methods: A total of 490 individuals with SCD (62 ± 8 years, 42% female, 28% amyloid-positive, 17% clinical progression) completed annual fluency assessments (mean ± SD follow-up 4.3 ± 2.
Privacy-ensuring Open-weights Large Language Models Are Competitive with Closed-weights GPT-4o in Extracting Chest Radiography Findings from Free-Text Reports.
Radiology
January 2025
From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Background Large-scale secondary use of clinical databases requires automated tools for retrospective extraction of structured content from free-text radiology reports. Purpose To share data and insights on the application of privacy-preserving open-weights large language models (LLMs) for reporting content extraction with comparison to standard rule-based systems and the closed-weights LLMs from OpenAI. Materials and Methods In this retrospective exploratory study conducted between May 2024 and September 2024, zero-shot prompting of 17 open-weights LLMs was preformed.
View Article and Find Full Text PDFTowards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification.
Animals (Basel)
December 2024
School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK.
The chicken is the world's most farmed animal. In this work, we introduce the Chicks4FreeID dataset, the first publicly available dataset focused on the reidentification of individual chickens. We begin by providing a comprehensive overview of the existing animal reidentification datasets.
View Article and Find Full Text PDFProcedural success prediction in chronic total occlusion percutaneous coronary intervention (CTO-PCI)-the rise of the machines?
Cardiovasc Diagn Ther
December 2024
Department of Cardiovascular, University Hospital Basel, Basel, Switzerland.
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