Results 51 to 60 of about 22,434 (254)
Auditory Processing and Speech-Sound Disorders
Background: Speech-sound disorders (SSD) have been linked to auditory processing difficulties, and auditory processing disorders (APD) have been related to phonological awareness and literacy development. To this date, there has not been a systematic literature review investigating the results of psychophysiology and language assessments related to SSD
Konstantinos Drosos +4 more
openaire +3 more sources
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
In this study, the speech of a 28-year-old male with acquired brain injury and who presents with an undefined neuromotor speech disorder which cannot be categorised as either apraxia of speech or dysarthria, is described. Voice onset time, vowel duration,
Dunay Schmulian +2 more
doaj +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Treatment Approaches to Speech Sound Disorders: A Scoping Review
Objective: The objective was to highlight and review different therapeutic approaches to cater to speech sound disorders in Pakistan. Methodology: To find the different therapeutic approaches, a literature search for related articles/ publications was
Hafsa Noreen +2 more
doaj +1 more source
Background: Bilingualism is common in South Africa, with many children acquiring isiXhosa as a home language and learning English from a young age in nursery or crèche. IsiXhosa is a local language, part of the Bantu language family, widely spoken in the
Kate Rossouw, Michelle Pascoe
doaj +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Automatic Speech and Voice Disorder Detection Using Deep Learning—A Systematic Literature Review
Speech and voice disorders are highly prevalent and a significant concern, particularly among children. These disorders have a notable impact on individual’s personalities, academic performance and overall development.
Irum Sindhu, Mohd Shamrie Sainin
doaj +1 more source

