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Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification of language disorders in children.

Method: We first describe the current barriers to clinicians' use of language sample analysis, narrative language sampling approaches, and the data processing stages that precede analysis.

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Two experimental methods to integrate intra-oral scans into 3D stereophotogrammetric facial images.

Clin Oral Investig

January 2025

Department of Dentistry Section Orthodontics and Craniofacial Biology, Radboud University Medical Center, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.

Objectives: For this research two different ways for integrating intra-oral scans into three-dimensional (3D) stereophotogrammetric images are analyzed and compared to the gold standard method.

Materials And Methods: A cross-sectional study was performed. For each patient a complete dataset was collected, which was used to generate 3D fusion models by three different methods: method A using cheek retractors, method B using a tracer and method C using full-skull CBCT.

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Wheat (Triticum aestivum L.) is one of the most important cereal crops, with its grain serving as a predominant staple food source on a global scale. However, there are many biotic and abiotic stresses challenging the stability of wheat production.

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Background: A key characteristic of Alzheimer's disease (AD) is cerebral aggregation of tau. These aggregates can be quantified and localized with positron emission tomography (PET), which improves the diagnostic and prognostic work-up of AD. However, tau-PET is expensive and not available in clinical settings globally.

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Biomarkers.

Alzheimers Dement

December 2024

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Background: The structural characteristics of the brain, specifically the decrease of individual gray (or white) matter volumes, provide valuable insights into brain function and cognitive decline, including the development of Alzheimer's disease (AD). In addition, genetic factors can play a significant role in changes in brain volumes, influencing biological activities and interacting in complex ways. In this study, we aim to investigate the relationship between genetic factors, structural brain volume, and the risk of AD.

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