Results 61 to 70 of about 8,531 (253)

Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment

Exploration, EarlyView.
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng, Wangzheqi Zhang, Jun Chen, Huang Wu, Lei Wu, Yanhao Qiu, Xiaoming Deng, Chenglong Zhu, Yisheng Chen, Zhijie Zhao, Changli Wang, Xiaomin Zhang   +11 more
wiley   +1 more source

Predicting Prodromal Dementia Using Linguistic Patterns and Deficits

IEEE Access, 2020
Language deficiency is evident in the onset of several neurodegenerative disorders yet has barely been investigated when first occurs on the continuum of cognitive impairment for the purpose of early diagnoses.
Ahmed H. Alkenani, Yuefeng Li, Yue Xu, Qing Zhang   +3 more
doaj   +1 more source

The Roads of Rome for Functional Dyspepsia: From Rome I to Rome V

Gut Medicine, EarlyView.
ABSTRACT Functional dyspepsia (FD) is one of the most common functional gastrointestinal disorders. Its diagnostic, classificatory, and therapeutic concepts have continuously evolved alongside successive iterations of the Rome diagnostic criteria, undergoing profound changes over more than three decades.
Zi‐xing Qian, Wei Wei
wiley   +1 more source

Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths

Schizophrenia
Mental illnesses often manifest through behavioral changes, with speech serving as a key medium for expressing thoughts and emotions. The use of computational linguistics on speech data in mental illnesses is a promising approach to uncover objective ...
Jordon Junyang Kho, Shangzheng Song, Samuel Ming Xuan Tan, Nur Hikmah Fitriyah, Matheus Calvin Lokadjaja, Jie Yin Yee, Zixu Yang, Eric Yu Hai Chen, Jimmy Lee, Wilson Wen Bin Goh   +9 more
doaj   +1 more source

Speech Analysis by Natural Language Processing Techniques: A Possible Tool for Very Early Detection of Cognitive Decline?

Frontiers in Aging Neuroscience, 2018
Background: The discovery of early, non-invasive biomarkers for the identification of “preclinical” or “pre-symptomatic” Alzheimer's disease and other dementias is a key issue in the field, especially for research purposes, the design of preventive ...
Daniela Beltrami, Daniela Beltrami, Gloria Gagliardi, Gloria Gagliardi, Rema Rossini Favretti, Enrico Ghidoni, Fabio Tamburini, Laura Calzà, Laura Calzà   +8 more
doaj   +1 more source

Digital speech-based markers to advance prognosis in Alzheimer's disease. [PDF]

Alzheimers Dement
Abstract Validated prognostic tools are essential to advance drug development and clinical care in Alzheimer's disease, particularly as the field shifts toward the prevention of cognitive decline. While progress has been made in developing blood‐based biomarkers for the early detection of amyloid pathology, amyloid positivity alone does not reliably ...
Lee M, Meylan S, Shobin E, SpeechDx Consortium, Nisenbaum L, Sukumar A, Kourtis L.   +6 more
europepmc   +2 more sources

CharMark: A Markov Approach to Linguistic Biomarkers in Dementia

ABSTRACT Dementia, one of the most prevalent neurodegenerative diseases, affects millions worldwide. Understanding linguistic markers of dementia is crucial for elucidating how cognitive decline manifests in speech patterns. Current non-invasive assessments like the Montreal Cognitive Assessment (MoCA) and Saint Louis
Kevin Mekulu, Faisal Aqlan, Hui Yang
openaire   +2 more sources

The Role of Multicancer Early Detection Tests in Head and Neck Squamous Cell Carcinoma: A Case Series

Head &Neck, EarlyView.
ABSTRACT Background Head and neck squamous cell carcinoma (HNSCC) lacks an established screening program, and most cases are diagnosed at advanced stages. Multi‐cancer early detection (MCED) blood‐based assays represent a promising approach, yet real‐world clinical experience with MCED‐identified HNSCC remains limited.
Abhinav Talwar, Olivia Ben‐Levy, Nikhil Sriram, Sandeep Samant   +3 more
wiley   +1 more source

Exploring the association between vitamin C intake and gingival bleeding tendency in healthy, non‑deficient young adults

Journal of Periodontology, EarlyView.
Abstract Background The aim of this study is to investigate the relationship between reported vitamin C intake and gingival bleeding severity. Methods In this cross‐sectional study, 336 participants were screened, and 262 (118 females, 144 males) were eligible. Vitamin C intake was derived from the Food Frequency Questionnaire (FFQ).
Thijs M. H. de Jong, Dagmar E. Slot, Cees Valkenburg, Bruno G. Loos, Fridus A. van der Weijden   +4 more
wiley   +1 more source

Automatic Detection of Rhythmic Features in Pathological Speech of MCI and Dementia Patients [PDF]

The presence of linguistic alterations represents one of the prodromal signs of cognitive decline associated with dementia. In recent years, a growing body of work has been devoted to the development of algorithms for the automatic linguistic analysis of
Tamburini, Fabio, Belmonte, Marica, Kokkinakis, Dimitrios,, Gagliardi, Gloria   +3 more
core   +1 more source