Article
Polymer Science
Muhammad Umar Aslam Khan, Saiful Izwan Abd Razaq, Hassan Mehboob, Sarish Rehman, Wafa Shamsan Al-Arjan, Rashid Amin
Summary: Treatment of skin wounds requires meticulous medical procedures. Blended composite hydrogels made from natural polymers like arabinoxylan play a crucial role in controlled drug release for skin wound care. Maximum swelling of the hydrogels occurs at pH 7, while drug release kinetics follows the Baker-Lonsdale model with high regression coefficient values.
Article
Chemistry, Multidisciplinary
Jiaqi Zhang, Jiaxin Li, Xiao-Fei Zeng, Jie-Xin Wang, Yuan Le
Summary: In this study, double-layer hybrid nanofiber membranes (DHNM) were fabricated as bioactive wound dressings with good antibacterial effect. The inner layer released ZnONPs quickly to destroy bacteria, while the outer layer sustained the release of TiO2NPs to resist bacterial attack. The DHNM showed good biocompatibility and enhanced cell migration. The results demonstrated that the double-layer membranes effectively inhibited and eliminated various bacteria.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2023)
Article
Polymer Science
Simona Petronela Gherman, Gabriela Biliuta, Adrian Bele, Alina Mirela Ipate, Raluca Ioana Baron, Lacramioara Ochiuz, Adrian Florin Spac, Daniela Elena Zavastin
Summary: The freezing/thawing method was used to prepare 12 hydrogels with different PVA:CS polymer ratios, and they were loaded with L-arg, Caff, and the mixture of L-arg and Caff. Zeolite-Z was added to the best polymer ratio and loaded with active substances. The interactions, network uniformity, and water vapor sorption capacity of the hydrogels were analyzed. The release profile of active substances was delayed in the presence of zeolite-Z, and the equilibrium state was not reached even after four hours of in vitro permeation.
Article
Chemistry, Multidisciplinary
Mingzhu Lu, Shanshan Li, Xiaolu Xiong, Zhijun Huang, Bolong Xu, Yunhang Liu, Qingyuan Wu, Nier Wu, Huiyu Liu, Dongsheng Zhou
Summary: In this study, a manganese-doped dopamine-derived hollow carbon sphere is developed as a nanozyme and photothermal agent for the synergistic treatment of multi-drug resistant bacterial infections. It exhibits multiple enzymatic activities and utilizes near-infrared light to enhance its catalytic and therapeutic effects, showing a broad-spectrum synergistic antibacterial efficiency against multi-drug resistant pathogens.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Review
Biochemistry & Molecular Biology
Caihong Yang, Zhikun Zhang, Lu Gan, Lexiang Zhang, Lei Yang, Pan Wu
Summary: Tissue injury, a common type of traumatic injury, often leads to secondary wound infections. To improve wound healing and minimize scarring, various types of wound dressings, including microsphere-based dressings, have been developed. Microsphere-based dressings have gained attention due to their ease of fabrication, excellent physicochemical properties, and effective drug release capabilities.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Engineering, Biomedical
Yu Wang, Jiahui Guo, Zhiqiang Luo, Yingbo Shen, Jinglin Wang, Yunru Yu, Yuanjin Zhao
Summary: This study presents novel prolamin-assembled porous hydrogel microfibers for treating diabetes wounds. The microfibers were continuously generated using microfluidic spinning technology. The resulting hydrogel microfibers demonstrated good cell-affinity, effective drug release efficiency, and superior performance in treating diabetes wounds.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Pharmacology & Pharmacy
Bapi Gorain, Manisha Pandey, Ng Hui Leng, Cho Wei Yan, Kuek Wee Nie, Simran Jeet Kaur, Vincent Marshall, Sreenivas Patro Sisinthy, Jithendra Panneerselvam, Nagashekhara Molugulu, Prashant Kesharwani, Hira Choudhury
Summary: Management of chronic wounds has significant social and economic implications, and traditional medicines combined with nanotechnology offer new opportunities for wound healing.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Chemistry, Multidisciplinary
Xinyue Cao, Lingyu Sun, Dongyu Xu, Shuangshuang Miao, Ning Li, Yuanjin Zhao
Summary: A novel melanin-integrated structural color hybrid hydrogel patch is developed for wound healing, which exhibits photothermal antibacterial and antioxidant properties. The drug release induced color shifting can be used to monitor the delivery processes. This multifunctional patch shows excellent therapeutic effects for in vivo wound treatment.
Article
Engineering, Biomedical
Hanif Haidari, Richard Bright, Xanthe L. Strudwick, Sanjay Garg, Krasimir Vasilev, Allison J. Cowin, Zlatko Kopecki
Summary: This study presents the development of a multifunctional thermo-responsive hydrogel utilizing ultra-small silver nanoparticles for controlled and optimized delivery of silver to infected wounds. The developed hydrogel showed significant elimination of S. aureus from mouse wounds, promoting cell proliferation and wound re-epithelization. The multifunctional properties of the AgNP thermoresponsive hydrogel offer great clinical potential in controlling bacterial infections and promoting wound healing.
ACTA BIOMATERIALIA
(2021)
Article
Chemistry, Applied
Seiichi Ohta, Kento Mitsuhashi, Arvind K. Singh Chandel, Pan Qi, Noriko Nakamura, Akiko Nakamichi, Hiromi Yoshida, Gento Yamaguchi, Yuichi Hara, Ryo Sasaki, Masaya Fuke, Madoka Takai, Taichi Ito
Summary: Silver-loaded CMC nonwoven sheets with different counterions, CMC-Na/Ag and CMC-H/Ag, showed differences in anti-bacterial and wound-healing properties. CMC-Na/Ag significantly accelerated wound healing in a pressure ulcer mouse model compared to CMC-H/Ag and a commercial product Aquacel Ag.
CARBOHYDRATE POLYMERS
(2022)
Article
Nanoscience & Nanotechnology
Hui Zhang, Zhuohao Zhang, Han Zhang, Canwen Chen, Dagan Zhang, Yuanjin Zhao
Summary: The development of controllable responsive microparticles composed of natural polymer materials, loaded with growth factors and antibacterial peptides, shows promising potential for drug release and wound healing applications. Under near-infrared (NIR) irradiation, these microparticles can achieve desired controllable release of growth factors to promote neovascularization formation. Additionally, the antibacterial peptides embedded in the microparticles provide antibacterial ability during storage and usage. These characteristics make the microparticles ideal for drug delivery and wound healing.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Biochemistry & Molecular Biology
Yirong Wang, Li Guo, Jiao Liu, Xiaofei Huang, Xinxin Wang, Xiaolong Guo, Xinguo You, Wenhui Li, Lili Li, Tongyi Sun, Yuanyuan Gao
Summary: Wound treatment is a common healthcare issue, and Tylotoin, a peptide derived from salamander, has shown skin wound healing properties. However, its degradation and administration limitations hinder its use. In this study, Chitosan-PLGA-Tylotoin nanoparticles were developed to deliver Tylotoin for wound healing. The nanoparticles demonstrated good antibacterial properties, biocompatibility, and sustained release of Tylotoin, leading to improved wound healing in vitro and in vivo.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Review
Pharmacology & Pharmacy
Haisheng Li, Buying Li, Dalun Lv, Wenhong Li, Yifei Lu, Gaoxing Luo
Summary: This article discusses recent advances in stimuli-responsive biomaterials for regulating local microenvironments during wound healing. It emphasizes on the design and application of different biomaterials that respond to wound biological/biochemical microenvironments (ROS, pH, enzymes, glucose, and glutathione), physical microenvironments (mechanical force, temperature, light, ultrasound, magnetic, and electric field), and combination modes. Moreover, several novel promising drug carriers (microbiota, metal-organic frameworks, and microneedles) are also discussed.
ADVANCED DRUG DELIVERY REVIEWS
(2023)
Article
Engineering, Environmental
Yuxin Zhang, Can Wu, Yuanyuan Xu, Zhiyu Chen, Lei Li, Jiali Chen, Ning Ning, Yi Guo, Zeyu Yang, Xuefeng Hu, Jieyu Zhang, Yunbing Wang
Summary: In this study, advanced hydrogels with stable conductivity and effective antibacterial properties were developed by incorporating antibacterial terbium ions into the hydrogel network. The hydrogel showed tremendous antibacterial effects and biomimetic conductivity, which enabled electrical stimulation (ES) treatment for diabetic ulcers (DUs) and accelerated wound healing.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Nanoscience & Nanotechnology
Wanqing Weng, Junjie Chi, Yunru Yu, Chunwu Zhang, Keqing Shi, Yuanjin Zhao
Summary: The multiactive encapsulated inverse opal film shows a potent antibacterial effect and promotes angiogenesis by loading vascular endothelial growth factor into nanopores and encapsulating by chitosan, making it crucial in chronic wound healing. The color change of the film structure can intuitively reflect the drug release progress, serving as a real-time drug monitoring system. In the affected wound model, the film's properties in promoting wound healing are confirmed by faster healing speed, more granulation tissue, less inflammation, and the distribution of new blood vessels and collagen, demonstrating its practical application value in clinical wound care.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Engineering, Biomedical
Saime Burce Ozler, Ezgi Bakirci, Can Kucukgul, Bahattin Koc
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS
(2017)
Article
Materials Science, Multidisciplinary
Navid Khani, Mehmet Yildiz, Bahattin Koc
MATERIALS & DESIGN
(2016)
Article
Nanoscience & Nanotechnology
Amin Hodaei, Omid Akhlaghi, Navid Khani, Tunahan Aytas, Dilek Sezer, Buse Tatli, Yusuf Z. Menceloglu, Bahattin Koc, Ozge Akbulut
ACS APPLIED MATERIALS & INTERFACES
(2018)
Article
Biochemistry & Molecular Biology
Burak Toprakhisar, Ali Nadernezhad, Ezgi Bakirci, Navid Khani, Gozde Akdeniz Skvortsov, Bahattin Koc
MACROMOLECULAR BIOSCIENCE
(2018)
Article
Materials Science, Multidisciplinary
Cem Balda Dayan, Ferdows Afghah, Burcu Saner Okan, Mehmet Yildiz, Yusuf Menceloglu, Mustafa Culha, Bahattin Koc
MATERIALS & DESIGN
(2018)
Article
Chemistry, Applied
Fuat Topuz, Ali Nadernezhad, Ozum S. Caliskan, Yusuf Z. Menceloglu, Bahattin Koc
CARBOHYDRATE POLYMERS
(2018)
Article
Multidisciplinary Sciences
Ali Nadernezhad, Navid Khani, Gozde Akdeniz Skvortsov, Burak Toprakhisar, Ezgi Bakirci, Yusuf Menceloglu, Serkan Unal, Bahattin Koc
SCIENTIFIC REPORTS
(2016)
Article
Automation & Control Systems
Ali Nadernezhad, Serkan Unal, Navid Khani, Bahattin Koc
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2019)
Article
Engineering, Industrial
Bahattin Koc, Anil A. Acar, Andrew Weightman, Glen Cooper, Gordon Blunn, Paulo Bartolo
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2019)
Article
Engineering, Manufacturing
A. Rahmat, B. Koc, M. Yildiz
ADDITIVE MANUFACTURING
(2017)
Proceedings Paper
Engineering, Biomedical
Ali Nadernezhad, Navid Khani, Bahattin Koc
3RD CIRP CONFERENCE ON BIOMANUFACTURING
(2017)
Proceedings Paper
Engineering, Biomedical
Sameer Kale, Navid Khani, Ali Nadernezhad, Bahattin Koc
3RD CIRP CONFERENCE ON BIOMANUFACTURING
(2017)
Article
Engineering, Industrial
Navid Khani, Ali Nadernezhad, Paulo Bartolo, Bahattin Koc
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2017)
Article
Engineering, Biomedical
E. Bakirci, B. Toprakhisar, M. C. Zeybek, G. O. Ince, B. Koc
Article
Engineering, Biomedical
Aurelie Carlier, Gozde Akdeniz Skvortsov, Forough Hafezi, Eleonora Ferraris, Jennifer Patterson, Bahattin Koc, Hans Van Oosterwyck
Article
Computer Science, Interdisciplinary Applications
Alireza Karimi, Reza Razaghi, Siddharth Daniel D'costa, Saeed Torbati, Sina Ebrahimi, Seyed Mohammadali Rahmati, Mary J. Kelley, Ted S. Acott, Haiyan Gong
Summary: This study investigated the biomechanical properties of the conventional aqueous outflow pathway using fluid-structure interaction. The results showed that the distribution of aqueous humor wall shear stress within this pathway is not uniform, which may contribute to our understanding of the underlying selective mechanisms.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Robert V. Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
Summary: This article introduces a 3D generative model called TrGAN, which can generate medical images with important features and statistical properties while protecting privacy. By evaluating through a membership inference attack, the fidelity, utility, and privacy trade-offs of the model were studied.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hoda Mashayekhi, Mostafa Nazari, Fatemeh Jafarinejad, Nader Meskin
Summary: In this study, a novel model-free adaptive control method based on deep reinforcement learning (DRL) is proposed for cancer chemotherapy drug dosing. The method models the state variables and control action in their original infinite spaces, providing a more realistic solution. Numerical analysis shows the superior performance of the proposed method compared to the state-of-the-art RL-based approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hao Sun, Bao Li, Liyuan Zhang, Yanping Zhang, Jincheng Liu, Suqin Huang, Xiaolu Xi, Youjun Liu
Summary: In cases of moderate stenosis in the internal carotid artery, the A1 segment of the anterior cerebral artery or the posterior communicating artery within the Circle of Willis may show a hemodynamic environment with high OSI and low TAWSS, increasing the risk of atherosclerosis development and stenosis in the CoW.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ilaria Toniolo, Paola Pirini, Silvana Perretta, Emanuele Luigi Carniel, Alice Berardo
Summary: This study compared the outcomes of endoscopic sleeve gastroplasty (ESG) and laparoscopic sleeve gastrectomy (LSG) in weight loss surgery using computational models of specific patients. The results showed significant differences between the two procedures in terms of stomach volume reduction and mechanical stimulation. A predictive model was proposed to support surgical planning and estimation of volume reduction after ESG.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chun-You Chen, Ya-Lin Chen, Jeremiah Scholl, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
Summary: This study evaluated the overall performance of a machine learning-based CDSS (MedGuard) in triggering clinically relevant alerts and intercepting inappropriate drug errors and LASA drug errors. The results showed that MedGuard has the ability to improve patients' safety by triggering clinically valid alerts.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Lingzhi Tang, Xueqi Wang, Jinzhu Yang, Yonghuai Wang, Mingjun Qu, HongHe Li
Summary: In this paper, a dynamical local feature fusion net for automatically recognizing aortic valve calcification (AVC) from echocardiographic images is proposed. The network segments high-echo areas and adjusts the selection of local features to better integrate global and local semantic representations. Experimental results demonstrate the effectiveness of the proposed approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
You-Lei Fu, Wu Song, Wanni Xu, Jie Lin, Xuchao Nian
Summary: This study investigates the combination of surface electromyographic signals (sEMG) and deep learning-based CNN networks to study the interaction between humans and products and the impact on body comfort. It compares the advantages and disadvantages of different CNN networks and finds that DenseNet has unique advantages over other algorithms in terms of accuracy and ease of training, while mitigating issues of gradient disappearance and model degradation.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek
Summary: In this study, a deep learning-based skull stripping algorithm for MRI was proposed, which works directly in the complex valued k-space and preserves the phase information. The results showed that the algorithm achieved similar results to the ground truth, with higher accuracy in the slices above the eye region. This approach not only preserves valuable information for further diagnostics, but also enables immediate anonymization of patient data before being transformed into the image domain.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ziyang Chen, Laura Cruciani, Elena Lievore, Matteo Fontana, Ottavio De Cobelli, Gennaro Musi, Giancarlo Ferrigno, Elena De Momi
Summary: In this paper, a deep learning-based approach is proposed to recover 3D information of intra-operative scenes, which can enhance the safety of robot-assisted surgery by implementing depth estimation using stereo images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ao Leng, Bolun Zeng, Yizhou Chen, Puxun Tu, Baoxin Tao, Xiaojun Chen
Summary: This study presents a novel training system for zygomatic implant surgery, which offers a more realistic simulation and training solution. By integrating visual, haptic, and auditory feedback, the system achieves global rigid-body collisions and soft tissue simulation, effectively improving surgeons' proficiency.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yingjie Wang, Xueqing Yin
Summary: This study developed an integrated computational model combining coronary flow and myocardial perfusion models to achieve physiologically accurate simulations. The model has the potential for clinical application in diagnosing insufficient myocardial perfusion.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Nitzan Avidan, Moti Freiman
Summary: This study aims to enhance the generalization capabilities of DNN-based MRI reconstruction methods for undersampled k-space data. By introducing a mask-aware DNN architecture and training method, the under-sampled data and mask are encoded within the model structure, leading to improved performance. Rigorous testing on the widely accessible fastMRI dataset reveals that this approach demonstrates better generalization capabilities and robustness compared to traditional DNN methods.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Enhao Zhang, Saeed Miramini, Lihai Zhang
Summary: This study investigates the combined effects of osteoporosis and diabetes on fracture healing process by developing numerical models. The results show that osteoporotic fractures have higher instability and disruption in mesenchymal stem cells' proliferation and differentiation compared to non-osteoporotic fractures. Moreover, when osteoporosis coexists with diabetes, the healing process of fractures can be severely impaired.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yunhao Bai, Wenqi Li, Jianpeng An, Lili Xia, Huazhen Chen, Gang Zhao, Zhongke Gao
Summary: This study proposes an effective MIL method for classifying WSI of esophageal cancer. The use of self-supervised learning for feature extractor pretraining enhances feature extraction from esophageal WSI, leading to more robust and accurate performance. The proposed framework outperforms existing methods, achieving an accuracy of 93.07% and AUC of 95.31% on a comprehensive dataset of esophageal slide images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)