A bilingual speech neuroprosthesis driven by cortical articulatory representations shared between languages

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering, Humanities and Others,
bilingual   neuroprosthesis   cortex   language decoding   speech impairment   deep learning   electrocorticography  

Bilingual Speech Neuroprosthesis Driven by Cortical Speech Representations Background In the development of neuroprostheses, research on decoding language from brain activity has primarily focused on decoding a single language. Thus, the extent to which bilingual speech production relies on unique or shared cortical activity between different langu...

Antibody-Displaying Extracellular Vesicles for Targeted Cancer Therapy

Antibody-Displaying Extracellular Vesicles for Targeted Cancer Therapy

Medicine, Oncology, Life Sciences, Cell Biology, Biochemistry,
antibodies   extracellular vesicles   cancer therapy   targeted therapy   immunotherapy  

The Application of Antibodies Displaying Extracellular Vesicles in Targeted Cancer Therapy Extracellular Vesicles (EVs) have been extensively researched as natural delivery carriers and mediators of biological signals in various tissues. In this study, researchers utilized these characteristics of EVs to demonstrate a modular delivery system for ca...

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Medicine, Basic Medical Sciences, Medical Imaging, Cardiovascular System, Life Sciences, Bioengineering, Biophysics,
bioluminescence   haemodynamics   photosensitive enzyme   fluorescent protein   rodent experiments   magnetic resonance imaging   light signal  

Academic News Report: New MRI Technology Achieves Biological Fluorescence Imaging by Detecting Local Hemodynamics of Photosensitive Blood Vessels Academic Background Introduction Bioluminescent probes are widely used for monitoring biomedical processes and cellular targets in living animals. However, the absorption and scattering of visible light b...

Spatial multi-omics at subcellular resolution via high-throughput in situ pairwise sequencing

Spatial multi-omics at subcellular resolution via high-throughput in situ pairwise sequencing

Medicine, Basic Medical Sciences, Life Sciences, Cell Biology, Biochemistry, Genetics,
spatial multi-omics   high-throughput   in situ   pairwise sequencing   subcellular resolution   gene detection   neuronal activity  

Spatial Multi-omics High Throughput In Situ Pairwise Sequencing at Subcellular Resolution Research Background and Objectives With the continuous advancement in biomedical research, the application of multi-omics technologies in understanding cell functions and disease mechanisms has gained increasing attention. However, many current in situ sequenc...

Strokeclassifier: Ischemic Stroke Etiology Classification by Ensemble Consensus Modeling Using Electronic Health Records

Information Science, Artificial Intelligence, Medicine, Environmental and Public Health, Neurology,
stroke   machine learning   artificial intelligence   etiology classification   health records   diagnostic accuracy   secondary prevention  

StrokeClassifier: An AI Tool for Etiological Classification of Ischemic Stroke Based on Electronic Health Records Project Background and Motivation Identifying the etiology of strokes, particularly acute ischemic stroke (AIS), is crucial for secondary prevention, but it is often very challenging. In the United States, there are nearly 676,000 new c...

Self-Supervised Learning of Accelerometer Data Provides New Insights for Sleep and Its Association with Mortality

Self-Supervised Learning of Accelerometer Data Provides New Insights for Sleep and Its Association with Mortality

Information Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Life Sciences, Biophysics,
self-supervised learning   accelerometer   sleep   mortality   deep learning   sleep stage classification   multicenter cohort study  

Insights into the Association Between Sleep and Mortality Revealed by Self-supervised Learning of Wrist-worn Accelerometer Data In modern society, sleep is an essential basic activity for life, and its importance is self-evident. Accurately measuring and classifying sleep/wake states and different sleep stages is crucial for diagnosing sleep disord...