Plant extract mediated synthesis of gold nanoparticles and its application to treatment of cancer DOI Creative Commons
Asishana Paul Onivefu,

Adewale Philip Adekunle,

Joseph Chibuike Okebugwu

и другие.

World Journal of Advanced Engineering Technology and Sciences, Год журнала: 2024, Номер 12(2), С. 435 - 445

Опубликована: Июль 30, 2024

Plant extract-mediated synthesis of gold nanoparticles is a promising research area with potential applications in various fields including medicine-cancer research, catalysis, and nanoelectronics. Gold have gained serious attention recent years as cancer treatment due to their unique optical physical properties. Plant-mediated method produce biocompatible non-toxic (Au-NPs). This study focuses on the current plant-mediated for cancer. It also discussed latest advancement nanobot technology. The will describe type plants used nanoparticles, mechanisms involved synthesis, advantages using disadvantages. Additionally, this discuss efficacy therapeutics instrumentation characterizing (Au-NPs), opportunities use (Au-NPs) future possible nanotechnology fight against Overall, holds promise safe effective treatment.

Язык: Английский

Advancements in tantalum based nanoparticles for integrated imaging and photothermal therapy in cancer management DOI Creative Commons
Ikhazuagbe H. Ifijen,

Awoyemi Taiwo Christopher,

Ogunnaike Korede Lekan

и другие.

RSC Advances, Год журнала: 2024, Номер 14(46), С. 33681 - 33740

Опубликована: Янв. 1, 2024

Tantalum-based nanoparticles (TaNPs) have emerged as promising tools in cancer management, owing to their unique properties that facilitate innovative imaging and photothermal therapy applications.

Язык: Английский

Процитировано

5

Exploring the versatility of copper-based nanoparticles as contrast agents in various imaging modalities DOI

Tochukwu Perpetua Okonkwo,

Osemudiamhen D. Amienghemhen, Adachukwu N. Nkwor

и другие.

Nano-Structures & Nano-Objects, Год журнала: 2024, Номер 40, С. 101370 - 101370

Опубликована: Окт. 4, 2024

Язык: Английский

Процитировано

3

Depth determination of simulated biological tissue using X-ray radiography and feature extraction techniques: Evaluation with Bi-LSTM neural network DOI
javad tayebi, Mohammad Reza Rezaie, Saeedeh Khezripour

и другие.

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101406 - 101406

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0

The Potential of Optical Technologies in Early Virus Detection; Prospects in Addressing Future Viral Outbreaks DOI
Mehdi Kheirollahpour, Nader Shokoufi, Mohsen Lotfi

и другие.

Critical Reviews in Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 1 - 29

Опубликована: Март 27, 2025

The urgent need for sensitive, rapid, and reliable diagnostic methodologies to control prevent life-threatening pandemic infectious disease, such as COVID-19, remains a critical priority. Timely on-site detection of viral pathogens is essential effective disease management mitigation societal disruptions. Recent advancements in optical methods have positioned them at the forefront healthcare diagnostics, offering high sensitivity specificity viable alternatives conventional techniques Polymerase Chain Reaction (PCR), which often suffer from time delays limited accessibility resource-constrained environments. This review elucidates potential various techniques, highlighting their advantages over traditional methods. It encompasses range modalities, including fluorescence-based approaches, Raman spectroscopy (RS), Plasmonic (e.g., surface plasmon resonance (SPR), localized SPR, (LSPR), surface-enhanced (SERS), fluorescence (SEF)), super resolution microscopies (SRMs), attenuated total reflectance-Fourier transform infrared (ATR-FTIR), integrated platforms waveguides molecularly imprinted polymer (MIP)-based biosensors. Additionally, evolution novel biosensors, particularly 5th 6th generation challenges related these technologies were discussed. studies reviewed aims advance development portable, specific, cost-effective point-of-care (POC) devices rapid pathogens.

Язык: Английский

Процитировано

0

РАДІОЛОГІЧНО-МОРФОЛОГІЧНЕ СПІВСТАВЛЕННЯ ОЗНАК ПАТОЛОГІЧНО ЗМІНЕНИХ ДІЛЯНОК ЛЕГЕНЕВОЇ ТКАНИНИ ПРИ КОРОНАВІРУСНІЙ ХВОРОБІ-2019 DOI
V. M. Matskevych

Art of Medicine, Год журнала: 2025, Номер unknown, С. 71 - 76

Опубликована: Апрель 2, 2025

The aim is to establish the correspondence of radiological findings morphological signs respiratory failure in patients who died as a result coronavirus disease-2019. During 2020-2024, there were examined 67 aged 37-79 years with acute insufficiency caused by COVID-19 leading death. control group included 48 people 43-78 due cardiovascular conditions without having infectious diseases. main vivo methods performed both samples were: lung ultrasound, X-ray and CT scan chest. Postmortem examination gross lungs pleura, material sampling, microscopic study. All received various types oxygen support. Among them, 59 (88.1%) study 37 (77.1%) underwent artificial ventilation that lasted more than 24 hours, according which groups did not statistically significantly differ from each other. In all patients, sonography revealed decrease airiness bilateral areas parenchyma damage numerous B-lines. dynamics, progressive consolidation tissue was observed, well presence pleural effusion (mainly bilateral), and, some cases, pericardial sac. These changes gradually increased, led deterioration cardiac parameters patients. Radiographs chest organs showed polysegmental loci weak medium intensity opacity preference for periphery, formed picture increasing negative dynamics. When performed, characteristics ground-glass-like opacity, localized mainly peripherally around vessels tendency transformation linear, reticular thickenings bilaterally. Bronchial patency preserved cases. variability size mediastinal lymph nodes also noted. pathomorphological characterizing predominantly lower lobes on back surface partial pneumatization front sections. Lungs collapse (focal atelectasis) had massive blood infiltration identified thromboembolic syndrome. Some characterized fibrin deposits visceral parietal sometimes development purulent inflammation – empyema. Mixed different phases diffuse alveolar lungs, manifested signs. disease-2019, radiologically visualized ground glass terminal stage disease corresponded stages damage.

Язык: Английский

Процитировано

0

Interface Engineering with Polymer Interlayers: Achieving Uniform and Stable Perovskite Thick Films for X-ray Detection DOI
Ting Han, De Ning, Haiqing Qin

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

Interface stress is a critical challenge limiting the optoelectronic performance and stability of perovskite-based X-ray detectors, often causing severe issues such as surface roughness, cracking, film detachment during fabrication. To address this, polymer interlayers have been employed effective stress-buffering layers at substrate/perovskite interface. However, influence layer properties on growth quality perovskite films has received limited attention. In this study, we systematically explore processability, mechanical properties, solubility, thermal stability, adsorption strength with materials four polymers - poly(vinylidene fluoride) (PVDF), poly(vinylpyrrolidone) (PVP), polyimide (PI), poly(l-lactic acid) (PLLA) using combination experimental theoretical methods, emphasizing role molecular characteristics in enhancing CsPbI2Br quality. Among them, thick PI buffer demonstrates most uniform dense morphology, along strong adhesion to substrate, maintaining integrity even under 50 g load. The resulting detectors exhibit excellent uniformity long-term over 30 days continuous operation. Moreover, integration PI/CsPbI2Br 64 × thin-film transistor (TFT) enabled high-resolution imaging. This study provides valuable insights into selecting further optimize film-based detectors.

Язык: Английский

Процитировано

0

YOLOv8 framework for COVID-19 and pneumonia detection using synthetic image augmentation DOI Creative Commons
Abdul Hasib Uddin,

Raihan Md Abu,

Jing Yang

и другие.

Digital Health, Год журнала: 2025, Номер 11

Опубликована: Май 1, 2025

Objective Early and accurate detection of COVID-19 pneumonia through medical imaging is critical for effective patient management. This study aims to develop a robust framework that integrates synthetic image augmentation with advanced deep learning (DL) models address dataset imbalance, improve diagnostic accuracy, enhance trust in artificial intelligence (AI)-driven diagnoses Explainable AI (XAI) techniques. Methods The proposed benchmarks state-of-the-art (InceptionV3, DenseNet, ResNet) initial performance evaluation. Synthetic images are generated using Feature Interpolation Linear Mapping principal component analysis enrich diversity balance class distribution. YOLOv8 InceptionV3 models, fine-tuned via transfer learning, trained on the augmented dataset. Grad-CAM used model explainability, while large language (LLMs) support visualization interpretability. Results achieved superior 97% precision, recall, F1-score, outperforming benchmark models. data generation effectively reduced imbalance improved recall underrepresented classes. Comparative demonstrated significant advancements over existing methodologies. XAI visualizations (Grad-CAM heatmaps) highlighted anatomically plausible focus areas aligned clinical markers pneumonia, thereby validating model's decision-making process. Conclusion integration generation, DL, significantly enhances fostering systems. YOLOv8's high coupled interpretable LLM-driven analysis, promotes transparency crucial adoption. Future research will developing clinically viable, human-in-the-loop workflow, further optimizing transformer-based interpretability decision-making.

Язык: Английский

Процитировано

0

Lanthanum-based nanoparticles: A promising frontier in antimicrobial applications DOI
Ikhazuagbe H. Ifijen,

Peter Agyemang,

Emmanuel Faderin

и другие.

Next Materials, Год журнала: 2025, Номер 8, С. 100719 - 100719

Опубликована: Май 23, 2025

Язык: Английский

Процитировано

0

The Frontiers of Smart Healthcare Systems DOI Open Access
Nan Lin, Rudy Paul,

Sabine Christopher Guerra

и другие.

Healthcare, Год журнала: 2024, Номер 12(23), С. 2330 - 2330

Опубликована: Ноя. 21, 2024

Artificial Intelligence (AI) is poised to revolutionize numerous aspects of human life, with healthcare among the most critical fields set benefit from this transformation. Medicine remains one challenging, expensive, and impactful sectors, challenges such as information retrieval, data organization, diagnostic accuracy, cost reduction. AI uniquely suited address these challenges, ultimately improving quality life reducing costs for patients worldwide. Despite its potential, adoption in has been slower compared other industries, highlighting need understand specific obstacles hindering progress. This review identifies current shortcomings explores possibilities, realities, frontiers provide a roadmap future advancements.

Язык: Английский

Процитировано

1

Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations DOI Creative Commons
Yasemin Gokcekuyu, Fatih Ekinci, Arda Büyüksungur

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(23), С. 10879 - 10879

Опубликована: Ноя. 24, 2024

This study investigates the absorption of X-rays in mandibular tissues by comparing real with tissue-equivalent materials using PHITS Monte Carlo simulation program. The was conducted over a range X-ray photon energies from 50 to 100 keV, increments 5 evaluate dose absorbed different tissues. Real tissues, such as skin, parotid gland, and masseter muscle, were compared their polymeric materials, including PMMA, Parylene N, Teflon. results showed that generally more than corresponding equivalents, especially at lower energy levels. For instance, differences doses reached up 50% for muscle its equivalent, while this gap narrowed higher energies. highlights limitations current accurately simulating tissue behavior, particularly low-energy applications. These discrepancies suggest utilizing may lead less accurate medical imaging radiotherapy calculations. Future research should focus on improving validating experimental data ensure reliable dosimetric outcomes. provides foundation refining radiation calculations patient safety clinical applications involving X-rays.

Язык: Английский

Процитировано

1