Results 81 to 90 of about 8,531 (253)

Predicting probable Alzheimer\u2019s disease using linguistic deficits and biomarkers

, 2017
Background The manual diagnosis of neurodegenerative disorders such as Alzheimer\u2019s disease (AD) and related Dementias has been a challenge.
Wong, Chee, Soyiri, Ireneous, Orimaye, Sylvester, Golden, Karen, Wong, Jojo   +4 more
core  

Proceedings of LREC 2022 Workshop: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments. (RaPID-2012), Saturday 25th of June 2022

, 2022
RaPID-4 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or ...
Lundholm Fors, Kristina, Tsanas, Athanasios, Kokkinakis, Dimitrios,, Fraser, Kathleen C., Themistocleous, Charalambos K.   +4 more
core  

Targeting Inflammatory Alarmin S100A9 Modulates Activation of Pro‐Inflammatory Macrophage to Protect Nasal Epithelial Cells From LPS‐Induced Epithelial–Mesenchymal Transition

Microbiology and Immunology, EarlyView.
ABSTRACT Chronic rhinosinusitis with nasal polyps (CRSwNP) exhibits pronounced endotypic heterogeneity, with macrophages serving as key drivers of sustained mucosal inflammation. In this study, we identify S100A9 as a macrophage‐derived alarmin that is markedly elevated in CRSwNP tissues.
Yunxiang Ji, Jia Luan, Fang Yuan, Zhao Wang, Ran Wei, Guangbin Sun   +5 more
wiley   +1 more source

Additional file 2 of Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers

, 2017
Raw transformed data. These files contain the transformed linguistic features from the DementiaBank dataset and appear in the Comma Separated Values file format.
Ireneous Soyiri (3530462), Sylvester Orimaye (3640462), Jojo Wong (3640456), Karen Golden (3640459), Chee Wong (3640465)   +4 more
core   +1 more source

Introduction: Towards a linguistic anthropology of AI Introduction : vers une anthropologie linguistique de l'IA

Journal of the Royal Anthropological Institute, EarlyView.
This essay introduces the themed cluster of articles, ‘Towards a linguistic anthropology of AI’. The advent of artificial intelligence (AI), especially in large language models capable of producing coherent discourse mimicking conversational interaction, is exerting unprecedented pressure on prevailing concepts of language, personhood, and the human ...
Webb Keane, Constantine V. Nakassis
wiley   +1 more source

Testing Speech Biomarkers of Depression via Automated Speech Analysis: Examining Their Relationships with Cognitive Vulnerabilities

Prior research indicates that speech alterations can be used as objective biomarkers for depression. Depressive individuals' linguistic and acoustic features of speech can change.
Siwen Sheng, Marieke K. van Vugt
core   +2 more sources

Linguistic markers in Parkinson’s disease (Smith et al., 2018)

, 2018
Purpose: Early cognitive symptoms such as word-finding difficulty (WFD) in daily conversation are common in Parkinson’s disease (PD), but studies have been limited by a lack of feasible, quantitative measures.
Kara M. Smith (5423582), Sharon Ash (5423579), Sharon X. Xie (848792), Murray Grossman (382554)   +3 more
core   +1 more source

‘Everything is a signal’: speaking circuits and noisy signs in the making of language‐oriented AI « Tout est signal » : circuits parlants et signes bruyants dans la création de l'IA orientée langage

Journal of the Royal Anthropological Institute, EarlyView.
Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley   +1 more source

Associations of cannabis use, tobacco use and co‐use with brain volume: A systematic review and meta‐analysis

Addiction, EarlyView.
Abstract Background and aims Cannabis is the most widely used illicit drug worldwide and is often co‐used with tobacco, the leading cause of preventable death. Although cannabis and tobacco have distinct neurobiological actions, their associations with brain volumes are unclear.
Katherine Sawyer, Tom P. Freeman, Martine Skumlien, Esther Walton, Thomas Lancaster, Jorien L. Treur, Valentina Lorenzetti, Anna K. M. Blackwell, Chloe Burke, Richie J. Carr, Constantinos Constantinides, Maisie Cox, Sarah Dance, Shadi Daryan, Sorcha Hamilton, Tom Jenkins, Gemma M. J. Taylor   +16 more
wiley   +1 more source

Are Cochlear Implants Indicated in the Advanced Aging Population?

The Laryngoscope, EarlyView.
India Jackson, Tiffany Peng Hwa, Michael Ruckenstein   +2 more
wiley   +1 more source