Research Advances in Electrospun Nanofiber Membranes for Non-Invasive Medical Applications

Micromachines, Journal Year: 2024, Volume and Issue: 15(10), P. 1226 - 1226

Published: Sept. 30, 2024

Non-invasive medical nanofiber technology, characterized by its high specific surface area, biocompatibility, and porosity, holds significant potential in various domains, including tissue repair biosensing. It is increasingly becoming central to healthcare offering safer more efficient treatment options for contemporary medicine. Numerous studies have explored non-invasive nanofibers recent years, yet a comprehensive overview of the field remains lacking. In this paper, we provide summary applications electrospun fields, considering multiple aspects perspectives. Initially, introduce electrospinning nanofibers. Subsequently, detail their health, health monitoring, personal protection, thermal regulation, wound care, highlighting critical role improving human health. Lastly, paper discusses current challenges associated with offers insights into future development trajectories.

Language: Английский

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A Review on Optical Biosensors for Monitoring of Uric Acid and Blood Glucose Using Portable POCT Devices: Status, Challenges, and Future Horizons

Biosensors, Journal Year: 2025, Volume and Issue: 15(4), P. 222 - 222

Published: March 31, 2025

The growing demand for real-time, non-invasive, and cost-effective health monitoring has driven significant advancements in portable point-of-care testing (POCT) devices. Among these, optical biosensors have emerged as promising tools the detection of critical biomarkers such uric acid (UA) blood glucose. Different transduction methods, like fluorescence, surface plasmon resonance (SPR), colorimetric approaches, are talked about, with a focus on how sensitive, specific, they are. Despite considerable advancements, several challenges persist, including sensor stability, miniaturization, interference effects, need calibration-free operation. This review also explores issues related to cost-effectiveness, data integration, wireless connectivity remote monitoring. further examines regulatory considerations commercialization aspects biosensors, addressing gap between research developments clinical implementation. Future perspectives emphasize integration artificial intelligence (AI) healthcare improved diagnostics, alongside development wearable implantable continuous Innovative potential change way people manage their by quickly accurately measuring glucose levels. is especially true decentralized solutions grows. By critically evaluating existing work exploring limitations opportunities field, this will help guide more efficient, accessible, reliable POCT devices that can improve patient outcomes quality life.

Language: Английский

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Practical implementation and impact of the 4R principles in ethnopharmacology: Pursuing a more humane approach to research

Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 16

Published: March 28, 2025

Ethnopharmacology, a discipline focused on studying the medicinal use of natural materials by humans, plays crucial role in addressing challenges modern drug development. However, traditional 3R principle-Replacement, Reduction, and Refinement-have limitations guiding ethical management animal experimentation, conducting studies, utilizing animal-derived ethnopharmacological research. To address these gaps, field has introduced 4R principles, which expand original framework adding "Responsibility." The Responsibility principle highlights obligation researchers to consider welfare experimental animals during all procedures. It calls for take accountability their actions decisions, ensuring that they actively protect exhibit empathy across species. This reinforces foundation implement principles effectively, this article explores dimensions Refinement, Replacement, detail. For strategies include minimizing developing optimized, efficient designs, creating tissue banks recycle samples, improving success rates modeling. These efforts collectively aim enhance standards while advancing scientific outcomes. In terms goal is minimize distress pain environment, refining operational procedures, strict control experiments under anesthesia, prioritizing non-invasive or minimally invasive techniques data collection. reduce need exploring alternative solutions. includes substituting vitro vivo ones, using 3D organoids replace organs, applying deep learning technologies ways decrease use. focuses enhancing researchers' obligations toward welfare. can be achieved regulations policies governing providing training technical personnel, promoting awareness practices. introduction implementation provide valuable guidance conduct experimentation research, offering new insights methodologies support responsible studies.

Language: Английский

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3D Printed Carbon Nanotubes Reinforced Polydimethylsiloxane Flexible Sensors for Tactile Sensing

ECS Sensors Plus, Journal Year: 2024, Volume and Issue: 3(2), P. 020606 - 020606

Published: June 3, 2024

Technology is constantly evolving, and chronic health issues are on the rise. It essential to have affordable easy access remote biomedical measurements. This makes flexible sensors a more attractive choice owing their high sensitivity flexibility along with low cost ease of use. As an additional advantage, 3D printing has become increasingly popular in areas such as biomedicine, environment, industry. study demonstrates 3D-printed for tactile sensing. A biocompatible silicone elastomer polydimethylsiloxane (PDMS) elastic modulus stretchability excellent wearable sensor material. Incorporating CNTs at varying concentrations (0.5, 1, 2)wt% enhances sensor’s mechanical strength, conductivity, responsiveness strain. In addition enhancing thermal stability composite by 44%, multi-walled carbon nanotubes (MWCNTs) also enhanced breaking strength 57% 2 wt% CNT loading. Moreover, contact angle values improved 15%, making it biomedical-grade hydrophobic surface. The electrical characteristics these reveal strain sensitivity, them perfect monitoring finger movements Overall, CNT-PDMS exhibit optimal performance, paving way advanced sensing industrial settings.

Language: Английский

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Advancing microbiota therapeutics: the role of synthetic biology in engineering microbial communities for precision medicine

Frontiers in Bioengineering and Biotechnology, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 4, 2024

Over recent years, studies on microbiota research and synthetic biology have explored novel approaches microbial manipulation for therapeutic purposes. However, fragmented information is available this aspect with key insights scattered across various disciplines such as molecular biology, genetics, bioengineering, medicine. This review aims to the transformative potential of in advancing microbiome therapies, significant implications healthcare, agriculture, environmental sustainability. By merging computer science, engineering, allows precise design modification biological systems via cutting edge technologies like CRISPR/Cas9 gene editing, metabolic oligonucleotide synthesis, thus paving way targeted treatments personalized probiotics engineered microorganisms. The will also highlight vital role gut disorders caused by its dysbiosis suggesting microbiota-based therapies innovations biosensors real-time health monitoring, non-invasive diagnostic tools, automated bio foundries better outcomes. Moreover, challenges including genetic stability, safety, robust regulatory frameworks be discussed understand importance ongoing ensure safe effective interventions.

Language: Английский

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Optimization of Feature Selection in Support Vector Machines (SVM) Using Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) for Heart Disease Detection

Published: Aug. 13, 2024

Language: Английский

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Diagnostic Use of Circulating Cells and Sub-Cellular Bio-particles

Progress in Biophysics and Molecular Biology, Journal Year: 2024, Volume and Issue: 192, P. 19 - 36

Published: Aug. 17, 2024

Language: Английский

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Enhancing postural balance assessment through neural network-based lower-limb muscle strength evaluation with reduced markers

Computer Methods in Biomechanics & Biomedical Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 11

Published: Oct. 3, 2024

Aiming to simplify the data acquisition process for balance diagnosis and focused on muscle, a direct factor affecting balance, assess judge postural stability. Utilizing publicly available kinematic dataset, research retained 3D coordinates mechanical 8 markers lower limbs. By integrating this with musculoskeletal model in OpenSim, inverse calculations were performed derive muscle forces. These forces, alongside coordinates, split into an 8:2 training test set ratio. A neural network was then developed predict forces using normalized coordinate from as input, corresponding force labels. The model's accuracy confirmed set, achieving coefficients of determination (

Language: Английский

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New perspectives on advances in diagnosis through imaging in chronic respiratory diseases: a systematic literature review

Sapienza International Journal of Interdisciplinary Studies, Journal Year: 2024, Volume and Issue: 5(1), P. e24019 - e24019

Published: Feb. 23, 2024

Background: Chronic respiratory diseases, such as asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease, and cystic fibrosis, present substantial global health challenges. This systematic review explores recent advances in imaging-based diagnostic methods for these conditions, emphasizing high-resolution computed tomography (HRCT), magnetic resonance imaging (MRI), positron emission (PET), artificial intelligence (AI). Methodology: A search of databases identified studies published the last five years, focusing on innovative techniques diseases. Inclusion criteria emphasized accuracy advancements modalities. Results: Seven were included, covering interventions intensive care, mesenchymal stem cell therapy COVID-19-induced acute distress syndrome (ARDS), endovascular treatment aortic arch aneurysms, cancer screening. MSC demonstrated positive outcomes ARDS patients, while repair showed technical success. LungSEARCH highlighted effectiveness screening high-risk populations. Discussion: Recent technologies, including HRCT, MRI, PET, AI, have revolutionized diagnosis. The emphasizes their clinical applications, impact patient outcomes, potential personalized medicine. AI enhances image analysis accuracy, yet challenges like cost interpretation discrepancies persist. Conclusion: Imaging particularly show promise improving Collaboration among healthcare professionals, researchers, industry stakeholders is crucial addressing ensuring widespread access to advanced tools. Future directions involve refining routine integration, advancing reducing burden

Language: Английский

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Molecular Communication Under Different Signaling Waveforms and Biological Deployments

Wireless Personal Communications, Journal Year: 2024, Volume and Issue: 138(1), P. 269 - 290

Published: Aug. 20, 2024

Language: Английский

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