Medical image analysis using deep learning algorithms

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 7, 2023

In the field of medical image analysis within deep learning (DL), importance employing advanced DL techniques cannot be overstated. has achieved impressive results in various areas, making it particularly noteworthy for healthcare. The integration with enables real-time vast and intricate datasets, yielding insights that significantly enhance healthcare outcomes operational efficiency industry. This extensive review existing literature conducts a thorough examination most recent (DL) approaches designed to address difficulties faced healthcare, focusing on use algorithms analysis. Falling all investigated papers into five different categories terms their techniques, we have assessed them according some critical parameters. Through systematic categorization state-of-the-art such as Convolutional Neural Networks (CNNs), Recurrent (RNNs), Generative Adversarial (GANs), Long Short-term Memory (LSTM) models, hybrid this study explores underlying principles, advantages, limitations, methodologies, simulation environments, datasets. Based our results, Python was frequent programming language used implementing proposed methods papers. Notably, majority scrutinized were published 2021, underscoring contemporaneous nature research. Moreover, accentuates forefront advancements practical applications realm analysis, while simultaneously addressing challenges hinder widespread implementation domains. These discerned serve compelling impetuses future studies aimed at progressive advancement evaluation metrics employed across reviewed articles encompass broad spectrum features, encompassing accuracy, sensitivity, specificity, F-score, robustness, computational complexity, generalizability.

Language: Английский

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Reprogramming tumor-associated macrophages as a unique approach to target tumor immunotherapy

Frontiers in Immunology, Journal Year: 2023, Volume and Issue: 14

Published: April 17, 2023

In the last ten years, it has become increasingly clear that tumor-infiltrating myeloid cells drive not just carcinogenesis

Language: Английский

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Electrospun multi-functional medicated tri-section Janus nanofibers for an improved anti-adhesion tendon repair

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 492, P. 152359 - 152359

Published: May 18, 2024

Language: Английский

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A motion-responsive injectable lubricative hydrogel for efficient Achilles tendon adhesion prevention

Materials Today Bio, Journal Year: 2025, Volume and Issue: 30, P. 101458 - 101458

Published: Jan. 5, 2025

Achilles tendon is a motor organ that prone to tissue adhesion during its repair process after rupture. Therefore, developing motion-responsive and anti-adhesive biomaterials an important need for the of Here, we report injectable lubricative hydrogel (ILH) based on hydration lubrication mechanism, which also sol-gel reversible transmission. The performance achieved by zwitterionic polymers as previously proved, transmission enabled dynamic disulfide bonds. Firstly, ILH was proved be successfully prepared lubricated well via FTIR characterization, rheological measurement tribological tests. Then, in vitro cell experiments coagulation tests demonstrated optimal cytocompatibility hemocompatibility ILH. To evaluate potential ILH's biofunction vivo, SD rats' rupture & model established. animal experiments' results showed significantly prevented thus promote healing inhibiting TGFβ1-Smad2/3 pathway. We believe this work will open new horizon adhesion-free repair.

Language: Английский

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Inhibiting Friction-Induced Exogenous Adhesion via Robust Lubricative Core–Shell Nanofibers for High-Quality Tendon Repair

Biomacromolecules, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Friction is the trigger cause for excessive exogenous adhesion, leading to poor self-repair of tendon. To address this problem, we developed electrospun dual-functional nanofibers with surface robust superlubricated performance and bioactive agent delivery regulate healing balance by reducing adhesion promoting endogenous healing. Coaxial electrospinning our previous in situ nanocoating growth techniques were employed create lubricative/repairable core–shell structured nanofibrous membrane (L/R-NM). The L/R-NM shell featured a coating zwitterionic PMPC polymer strong hydration lubrication resist core could achieve sustained platelet-rich plasma release promote tests cell experiments confirmed L/R-NM's prominent lubricating properties antiadhesive vitro. Rat tendon injury model evaluation indicated that effectively promotes high-quality repair inhibiting friction-induced Therefore, believe will open unique novel horizon repair.

Language: Английский

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Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm

Biomedical Signal Processing and Control, Journal Year: 2023, Volume and Issue: 87, P. 105492 - 105492

Published: Sept. 28, 2023

Language: Английский

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Trends in using deep learning algorithms in biomedical prediction systems

Frontiers in Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Nov. 9, 2023

In the domain of using DL-based methods in medical and healthcare prediction systems, utilization state-of-the-art deep learning (DL) methodologies assumes paramount significance. DL has attained remarkable achievements across diverse domains, rendering its efficacy particularly noteworthy this context. The integration with health systems enables real-time analysis vast intricate datasets, yielding insights that significantly enhance outcomes operational efficiency industry. This comprehensive literature review systematically investigates latest solutions for challenges encountered healthcare, a specific emphasis on applications domain. By categorizing cutting-edge approaches into distinct categories, including convolutional neural networks (CNNs), recurrent (RNNs), generative adversarial (GANs), long short-term memory (LSTM) models, support vector machine (SVM), hybrid study delves their underlying principles, merits, limitations, methodologies, simulation environments, datasets. Notably, majority scrutinized articles were published 2022, underscoring contemporaneous nature research. Moreover, accentuates forefront advancements techniques practical within realm while simultaneously addressing hinder widespread implementation image segmentation domains. These discerned serve as compelling impetuses future studies aimed at progressive advancement systems. evaluation metrics employed reviewed encompass broad spectrum features, encompassing accuracy, precision, specificity, F-score, adoptability, adaptability, scalability.

Language: Английский

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Molecular Insights into the Relationship Between Platelet Activation and Endothelial Dysfunction: Molecular Approaches and Clinical Practice

Molecular Biotechnology, Journal Year: 2024, Volume and Issue: 66(5), P. 932 - 947

Published: Jan. 6, 2024

Language: Английский

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The multifaceted role of Fragile X-Related Protein 1 (FXR1) in cellular processes: an updated review on cancer and clinical applications

Cell Death and Disease, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 18, 2024

Abstract RNA-binding proteins (RBPs) modulate the expression level of several target RNAs (such as mRNAs) post-transcriptionally through interactions with unique binding sites in 3′-untranslated region. There is mounting information that suggests RBP dysregulation plays a significant role carcinogenesis. However, function FMR1 autosomal homolog 1(FXR1) malignancies just beginning to be unveiled. Due diversity their domains and functional adaptability, FXR1 can regulate diverse transcript processing. Changes interaction RNA networks have been linked emergence cancer, although theoretical framework defining these alterations insufficient. Alteration or localization has mRNAs cancer suppressor genes, cancer-causing genes involved genomic stability. In particular, FXR1-mediated gene regulation involves cellular phenomena related growth, metastasis, epithelial-mesenchymal transition, senescence, apoptosis, angiogenesis. implicated types, suggesting its diagnostic therapeutic potential. molecular mechanisms biological effects yet understood. This review highlights current knowledge various situations, emphasizing variety complexity. We further address challenges opportunities targeting for diagnosis treatment propose future directions research oncology. work intends provide an in-depth emerging oncotarget multiple roles implications biology therapy.

Language: Английский

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Nonswellable Hydrogel Patch with Tissue-Mimetic Mechanical Characteristics Remodeling In Vivo Microenvironment for Effective Adhesion Prevention

ACS Nano, Journal Year: 2024, Volume and Issue: 18(27), P. 17651 - 17671

Published: June 27, 2024

Postoperative adhesion is a common complication after abdominal surgery, but current clinical products have unsatisfactory therapeutic effects. Here, we present hydrogel patch formed in single step through dialysis. The exchange of DMSO into water facilitates hydrophobic aggregate situ formation and the hydrogen bonds within hydrogel. Thanks to optimized component ratio precise structural design. has soft-tissue-like mechanical characteristics, including high strength, toughness, low modulus similar wall, good fatigue resistance, fast self-recovery properties. nonswellable retains over 80% its original properties 7 days immersion physiological saline, with maximum swelling 5.6%. Moreover, biomultifunctionality benzyl isothiocyanate can self-assemble onto during sol–gel transition process, enabling it remodel inflammatory microenvironment synergistic antibacterial, antioxidant, anti-inflammatory prevents postsurgical rat sidewall defect-cecum abrasion model outperforms leading commercial Interceed. It holds promising potential for translation, considering that FDA-approved raw materials (PVA gelatin) form backbone this effective patch.

Language: Английский

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