Recent Developments in Nanoparticle Formulations for Resveratrol Encapsulation as an Anticancer Agent

Pharmaceuticals, Год журнала: 2024, Номер 17(1), С. 126 - 126

Опубликована: Янв. 18, 2024

Resveratrol is a polyphenolic compound that has gained considerable attention in the past decade due to its multifaceted therapeutic potential, including anti-inflammatory and anticancer properties. However, efficacy impeded by low water solubility, dose-limiting toxicity, bioavailability, rapid hepatic metabolism. To overcome these hurdles, various nanoparticles such as organic inorganic nanoparticles, liposomes, polymeric dendrimers, solid lipid gold zinc oxide zeolitic imidazolate frameworks, carbon nanotubes, bioactive glass mesoporous were employed deliver resveratrol, enhancing against types of cancer. Resveratrol-loaded nanoparticle or resveratrol-conjugated administration exhibits excellent potency compared free resveratrol. This review highlights latest developments nanoparticle-based delivery systems for focusing on potential limitations associated with compound’s bioavailability effectiveness.

Язык: Английский

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Theranostic Approaches for Gastric Cancer: An Overview of In Vitro and In Vivo Investigations

Cancers, Год журнала: 2024, Номер 16(19), С. 3323 - 3323

Опубликована: Сен. 28, 2024

Gastric cancer (GC) is the second most common cause of cancer-related death worldwide and a serious public health concern. This high rate mostly caused by late-stage diagnoses, which lead to poor treatment outcomes. Radiation immunotherapy targeted therapies are becoming increasingly popular in GC treatment, addition surgery systemic chemotherapy. In this review, we have focused on both vitro vivo research, presents summary recent developments for gastric cancer. We explore therapy approaches, including integrin receptors, HER2, Claudin 18, glutathione-responsive systems. For instance, targeting receptors such as αvβ3 αvβ5 integrins shown promise enhancing diagnostic precision efficacy. Furthermore, nanotechnology provides novel approaches drug delivery imaging. These include nanoplatforms cyclic RGD peptide-conjugated nanoparticles. strategies seek reduce toxicity while increasing specificity To sum up, review addresses significance personalized medicine advancements cancer-targeted therapies. It explores potential methods prognosis future.

Язык: Английский

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Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues

Journal of Imaging, Год журнала: 2025, Номер 11(2), С. 59 - 59

Опубликована: Фев. 15, 2025

Artificial intelligence (AI) transforms image data analysis across many biomedical fields, such as cell biology, radiology, pathology, cancer and immunology, with object detection, feature extraction, classification, segmentation applications. Advancements in deep learning (DL) research have been a critical factor advancing computer techniques for mining. A significant improvement the accuracy of detection algorithms has achieved result emergence open-source software innovative neural network architectures. Automated now enables extraction quantifiable cellular spatial features from microscope images cells tissues, providing insights into organization various diseases. This review aims to examine latest AI DL mining microscopy images, aid biologists who less background knowledge machine (ML), incorporate ML models focus images.

Язык: Английский

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An Overview of In Vitro Assays of 64Cu-, 68Ga-, 125I-, and 99mTc-Labelled Radiopharmaceuticals Using Radiometric Counters in the Era of Radiotheranostics

Diagnostics, Год журнала: 2023, Номер 13(7), С. 1210 - 1210

Опубликована: Март 23, 2023

Radionuclides are unstable isotopes that mainly emit alpha (α), beta (β) or gamma (γ) radiation through decay. Therefore, they used in the biomedical field to label biomolecules drugs for diagnostic imaging applications, such as positron emission tomography (PET) and/or single-photon computed (SPECT). A growing of research is development new radiopharmaceuticals use cancer treatments. Preclinical studies gold standard translational research. Specifically, vitro radiopharmaceutical based on directly cells. To date, radiometric β- and γ-counters only tools able assess a preclinical assay with aim estimating uptake, retention, release parameters, including time- dose-dependent cytotoxicity kinetic parameters. This review has been designed researchers, biologists biotechnologists, who would like approach radiobiology conduct assays cellular radioactivity evaluations using counters. demonstrate importance counters view radiogenomics, many 64Cu-, 68Ga-, 125I-, 99mTc-labeled have revised summarized this manuscript.

Язык: Английский

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Proton boron capture therapy (PBCT) induces cell death and mitophagy in a heterotopic glioblastoma model

Communications Biology, Год журнала: 2023, Номер 6(1)

Опубликована: Апрель 8, 2023

Abstract Despite aggressive therapeutic regimens, glioblastoma (GBM) represents a deadly brain tumor with significant aggressiveness, radioresistance and chemoresistance, leading to dismal prognosis. Hypoxic microenvironment, which characterizes GBM, is associated reduced effectiveness. Moreover, current irradiation approaches are limited by uncertain delineation severe side effects that comprehensively lead unsuccessful treatment worsening of the quality life GBM patients. Proton beam offers opportunity depth-dose profile, which, unfortunately, coupled low relative biological effectiveness (RBE). The use radiosensitizing agents, such as boron-containing molecules, enhances proton RBE increases on beam-hit targets. We report first preclinical evaluation boron capture therapy (PBCT) in model analyzed via μ-positron emission tomography/computed tomography (μPET-CT) assisted live imaging, finding increased PBCT versus an cell death mitophagy. Our work supports agents scalable strategy treat exploiting ballistic advances increasing

Язык: Английский

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Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs

Life, Год журнала: 2023, Номер 13(7), С. 1441 - 1441

Опубликована: Июнь 26, 2023

The purpose of this investigation was to evaluate the diagnostic performance two convolutional neural networks (CNNs), namely ResNet-152 and VGG-19, in analyzing, on panoramic images, rapport that exists between lower third molar (MM3) mandibular canal (MC), compare with an inexperienced observer (a sixth year dental student). Utilizing k-fold cross-validation technique, 142 MM3 cropped from 83 were split into 80% as training validation data 20% test data. They subsequently labeled by experienced radiologist gold standard. In order capabilities CNN algorithms observer, accuracy, sensitivity, specificity, positive predictive value (PPV) determined. achieved a mean PPV, 84.09%, 94.11%, 92.11%, 88.86%, respectively. VGG-19 71.82%, 93.33%, 92.26%, 85.28% regarding aforementioned characteristics. student’s respectively 69.60%, 53.00%, 64.85%, 62.53%. This work demonstrated potential use deep architecture for identification evaluation contact MC pictures. addition, CNNs could be useful tool assist observers more accurately identifying relationships images.

Язык: Английский

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Robustness of radiomics to variations in segmentation methods in multimodal brain MRI

Scientific Reports, Год журнала: 2022, Номер 12(1)

Опубликована: Окт. 6, 2022

Abstract Radiomics in neuroimaging uses fully automatic segmentation to delineate the anatomical areas for which radiomic features are computed. However, differences among these methods affect an unknown extent. A scan-rescan dataset (n = 46) of T1-weighted and diffusion tensor images was used. Subjects were split into a sleep-deprivation control group. Scans segmented using four from First, we measured agreement Dice-coefficient. Second, robustness reproducibility intraclass correlation coefficient (ICC). Last, difference predictive power assessed Friedman-test on performance radiomics-based sleep deprivation classification application. Segmentation generally high (interquartile range 0.77–0.90) median feature method variation higher (ICC > 0.7) than 0.3–0.8). differed significantly (p < 0.001) ranging 77 84%. Accuracy more recent deep learning-based methods. Despite methods, subtle affected their power. Consequently, effect should be taken account when designing evaluating research

Язык: Английский

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Revolutionizing Periodontal Care: The Role of Artificial Intelligence in Diagnosis, Treatment, and Prognosis

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3295 - 3295

Опубликована: Март 18, 2025

This review evaluates the application of artificial intelligence (AI), particularly neural networks, in diagnosing and staging periodontal diseases through radiographic analysis. Using a systematic 22 studies published between 2017 2024, it examines various AI models, including convolutional networks (CNNs), hybrid generative adversarial (GANs), transformer networks. The analyzed diverse datasets from panoramic, periapical, imaging techniques, assessing diagnostic accuracy, sensitivity, specificity, interpretability. CNN models like Deetal-Perio YOLOv5 achieved high accuracy detecting alveolar bone loss (ABL), with F1 scores up to 0.894. Hybrid demonstrate strength handling complex cases, such as molars vertical loss. Despite these advancements, challenges persist, reduced performance severe limited for loss, need 3D integration. AI-driven tools offer transformative potential periodontology by rivaling clinician performance, improving consistency, streamlining workflows. Addressing current limitations large, advanced techniques will further optimize their clinical utility. stands poised revolutionize care, enabling early diagnosis, personalized treatment planning, better patient outcomes.

Язык: Английский

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Computed Tomography Assessment of Healthy Elbow Joint Congruity in Dogs Being Affected by Pronation and Supination Angulation: A Cadaveric Study

Animals, Год журнала: 2025, Номер 15(7), С. 921 - 921

Опубликована: Март 23, 2025

The aim of this study was to determine the influence limb positioning on computed tomographic (CT) measurement radio-ulnar incongruity (RUI) in canines. sample population comprised twenty thoracic limbs harvested from ten adult canine cadaveric specimens medium-size breeds without concurrent orthopedic disease. CT scans each elbow were performed using two different flexion angles (90° and 135°) combination with five supination pronation (-35°, -15°, 0°, 15° 35°). aligned a custom-made fixation device. For scan, RUI measured at apex (AMC) base (BMC) ulnar medial coronoid process compared joint study. As values followed normal distribution one-factorial analysis variance produced significant result, Dunnett post hoc test compare individual conditions pairwise for differences. results show no differences between 90° 135° flexion. AMC showed maximum deviations (p < 0.001) 18.14% -15° 31.31% -35° 35°. Measurement BMC pronation; resulted small 5.51% 0.001). Angulation 35° average 11.51% Supination greater changes than pronation. This concludes that affect congruity space, most evident These findings should be considered during forelimbs diagnostic purposes.

Язык: Английский

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Unveiling Another Dimension: Advanced Visualization of Cancer Invasion and Metastasis via Micro-CT Imaging

Cancers, Год журнала: 2025, Номер 17(7), С. 1139 - 1139

Опубликована: Март 28, 2025

Invasion and metastasis are well-known hallmarks of cancer, with metastatic disease accounting for 60% to 90% cancer-related deaths [...].

Язык: Английский

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