Results 231 to 240 of about 168,660 (312)
Speech-language pathology and the professional voice.
L K, Wilner, R T, Sataloff
openaire +1 more source
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
Telehealth Delivery of Speech-Language Pathology Services for Children with Cleft Palate and Velopharyngeal Dysfunction: A Systematic Review. [PDF]
Al Awaji NN +6 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Language biomarker screening using AI: a transdiagnostic approach to the brain. [PDF]
Themistocleous C, Stark BC.
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Unilateral Ptosis and Bulbar Symptoms as the Initial Presentation of Late-Onset Acetylcholine Receptor Antibody-Positive Myasthenia Gravis Mimicking Acute Ischemic Stroke in an 82-Year-Old Man. [PDF]
Mangrio SM +4 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

