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Transformers for Neuroimage Segmentation: Scoping Review.
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFContribution of Blood Biomarkers to Multiple Sclerosis Diagnosis.
Neurol Neuroimmunol Neuroinflamm
March 2025
Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Background And Objectives: Invasive procedures may delay the diagnostic process in multiple sclerosis (MS). We investigated the added value of serum neurofilament light chain (sNfL), glial fibrillary acidic protein (sGFAP), chitinase-3-like 1 (sCHI3L1), and the immune responses to the Epstein-Barr virus-encoded nuclear antigen 1 to current MS diagnostic criteria.
Methods: In this multicentric study, we selected patients from 2 prospective cohorts presenting a clinically isolated syndrome (CIS).
Estimating the economic consequences of leveraging the novel cobas® HIV-1/HIV-2 Qualitative NAT Test in routine HIV testing.
Clin Infect Dis
January 2025
IQVIA Inc., Falls Church, VA.
Article Synopsis
- The study compared the costs of the current CDC 3-step HIV testing algorithm with a new single-test alternative (cobas) for efficiency in diagnosing HIV.
- A decision-tree model estimated costs and testing needs for 1 million people, revealing significant reductions in total tests and retests required when using the alternative method.
- Findings indicate that the new algorithm could simplify HIV testing processes, cut overall testing numbers, and keep healthcare costs stable, thereby improving patient outcomes.
Auditory Global-Local Processing Under Tonal Language Background: Effect of Attention and Autistic Traits.
J Speech Lang Hear Res
January 2025
Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China.
Purpose: Neurotypical individuals show a robust "global precedence effect (GPE)" when processing hierarchically structured visual information. However, the auditory domain remains understudied. The current research serves to fill the knowledge gap on auditory global-local processing across the broader autism phenotype under the tonal language background.
View Article and Find Full Text PDFExploring the nature of stuttering through a behavioral-neuro-modulation intervention program in bilinguals with stuttering.
Codas
January 2025
Department of Speech and Hearing, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Purpose: Investigations on identifying the nature of stuttering present varying views. The argument remains whether the stuttering dysfluencies have a motor or a linguistic foundation. Though stuttering is considered a speech-motor disorder, linguistic factors are increasingly reported to play a role in stuttering.
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