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Navigating the nano-world future: Harnessing cellulose nanocrystals from green sources for sustainable innovation.
Heliyon
January 2025
Centre for Advanced Composite Materials (CACM) Universiti Teknologi Malaysia, 81310, Skudai, Johor Bahru, Johor, Malaysia.
Cellulose nanocrystals (CNCs) are a class of materials that have received significant attention in recent years due to their unique properties and potential applications. CNCs are extracted from plant fibers and possess high strength, stiffness, and biocompatibility, making them attractive materials for use in various fields such as biomedical engineering, renewable energy, and nanotechnology. This provides an in-depth discussion of the extraction, characterization, and promising applications of CNCs.
View Article and Find Full Text PDFSingle cell transcriptomics in blood of patients with chronic obstructive pulmonary disease.
BMC Pulm Med
January 2025
Department of Internal Medicine, Kangwon National University Hospital, Chuncheon, Korea.
Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Single-cell RNA sequencing (scRNA-seq) provides gene expression profiles at the single-cell level. Hence, we evaluated gene expression in the peripheral blood of patients with COPD.
View Article and Find Full Text PDFEstablishing a Three-Dimensional Coculture Module of Epithelial Cells Using Nanofibrous Membranes.
J Vis Exp
December 2024
Department of Pharmacology, School of Medicine, Ajou University; 3D Immune System Imaging Core Center, Ajou University;
Technical hurdles in a culture of epithelial cells include dedifferentiation and loss of function. Biomimetic three-dimensional (3D) cell culture methods can enhance cell culture efficiency. This study introduces an advanced two-layered culture system intended to cultivate epithelial cells as tissue-like layers with the culture of fibroblasts within a 3D environment.
View Article and Find Full Text PDFSpeech-mediated manipulation of da Vinci surgical system for continuous surgical flow.
Biomed Eng Lett
January 2025
Department of Biomedical Engineering, Seoul National University College of Medicine, 103 Daehak-ro, Jongno- gu, Seoul, 03080 Republic of Korea.
Unlabelled: With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (dVSS), and their efficacy has been validated in worldwide surgical fields. However, further improvements are required to the traditional manipulation methods, which cannot control an endoscope and surgical instruments simultaneously. This study proposes a speech recognition control interface (SRCI) for controlling the endoscope via speech commands while manipulating surgical instruments to replace the traditional method.
View Article and Find Full Text PDFResearch on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems.
Sensors (Basel)
December 2024
Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China.
Arrhythmias are among the diseases with high mortality rates worldwide, causing millions of deaths each year. This underscores the importance of real-time electrocardiogram (ECG) monitoring for timely heart disease diagnosis and intervention. Deep learning models, trained on ECG signals across twelve or more leads, are the predominant approach for automated arrhythmia detection in the AI-assisted medical field.
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