Article
Engineering, Biomedical
Michael Yeung, Evis Sala, Carola-Bibiane Schoenlieb, Leonardo Rundo
Summary: Automatic segmentation methods using deep neural networks have advanced medical image analysis. However, class imbalance in medical datasets poses a challenge for model convergence. In this study, we propose the Unified Focal loss function to handle class imbalance and demonstrate its superior performance compared to other loss functions on various medical imaging datasets.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2022)
Article
Engineering, Biomedical
Hussein M. El-Husseiny, Eman A. Mady, Lina Hamabe, Amira Abugomaa, Kazumi Shimada, Tomohiko Yoshida, Takashi Tanaka, Aimi Yokoi, Mohamed Elbadawy, Ryou Tanaka
Summary: Biomedicine and tissue regeneration have made significant advancements in recent years, opening up possibilities for improving the restoration of impaired tissues and their functions. Smart/stimuli-responsive hydrogels, as three-dimensional bioscaffolds, show great potential in tissue engineering and other biomedical applications. This review focuses on the synthesis schemes and responsiveness mechanisms of smart/stimuli-responsive hydrogels, as well as their potential in tissue engineering and other biomedical applications.
MATERIALS TODAY BIO
(2022)
Review
Engineering, Biomedical
Ramya Ramadoss, Rajashree Padmanaban, Balakumar Subramanian
Summary: Enamel remineralization is a challenging process due to the complex organized hierarchical microstructure of enamel and its inability to remodel like other mineralized tissues.
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS
(2022)
Article
Engineering, Biomedical
Abhimanyu Thakur, Diana Carolina Parra, Pedram Motallebnejad, Marcelo Brocchi, Huanhuan Joyce Chen
Summary: Exosomes are tiny extracellular vesicles that carry various components, such as proteins, lipids, and nucleic acids, and play a crucial role in the malignant progression of cancer. Due to their ability to transport drugs and molecular information, exosomes have been considered as a novel tool for cancer therapeutics.
BIOACTIVE MATERIALS
(2022)
Article
Engineering, Biomedical
Sigit Sugiarto, Yihao Leow, Chong Li Tan, Guan Wang, Dan Kai
Summary: The review highlights the potential of utilizing lignin as a versatile biomaterial and discusses the challenges and outlook in developing and enhancing biomaterials through chemical modifications of lignin.
BIOACTIVE MATERIALS
(2022)
Article
Engineering, Biomedical
Tong Li, Xian-Mao Lu, Ming-Rong Zhang, Kuan Hu, Zhou Li
Summary: Peptide-based self-assembly nanomaterials, with diverse structures and functionalities, play a significant role in bioapplications. This review provides an overview of the recent advances in peptide-based self-assembly nanostructures, focusing on the driving forces and assembly mechanisms. It also summarizes the synthesis, properties, and applications of functional peptide nanomaterials. The challenges and future prospects of peptide-based nanomaterials are discussed.
BIOACTIVE MATERIALS
(2022)
Article
Biology
Ailiang Qi, Dong Zhao, Fanhua Yu, Ali Asghar Heidari, Zongda Wu, Zhennao Cai, Fayadh Alenezi, Romany F. Mansour, Huiling Chen, Mayun Chen
Summary: This paper focuses on the study of COVID-19 X-ray image segmentation technology. A new multilevel image segmentation method based on the swarm intelligence algorithm is proposed, along with a designed image segmentation model. Experimental results show that the proposed model achieves more stable and superior segmentation results at different threshold levels.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Review
Biology
Yizhou Chen, Xu-Hua Yang, Zihan Wei, Ali Asghar Heidari, Nenggan Zheng, Zhicheng Li, Huiling Chen, Haigen Hu, Qianwei Zhou, Qiu Guan
Summary: This paper provides a comprehensive review and analysis of medical image augmentation, focusing on the advantages of different augmentation models, loss functions, and evaluation metrics. It explores the potential role of augmented models in limited training set scenarios and discusses the limitations and research directions in this field. The research shows that this field is still actively developing.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Engineering, Biomedical
Chenglong Xie, Xu-Xu Zhuang, Zhangming Niu, Ruixue Ai, Sofie Lautrup, Shuangjia Zheng, Yinghui Jiang, Ruiyu Han, Tanima Sen Gupta, Shuqin Cao, Maria Jose Lagartos-Donate, Cui-Zan Cai, Li-Ming Xie, Domenica Caponio, Wen-Wen Wang, Tomas Schmauck-Medina, Jianying Zhang, He-ling Wang, Guofeng Lou, Xianglu Xiao, Wenhua Zheng, Konstantinos Palikaras, Guang Yang, Kim A. Caldwell, Guy A. Caldwell, Han-Ming Shen, Hilde Nilsen, Jia-Hong Lu, Evandro F. Fang
Summary: This study utilized machine learning and a cross-species approach to identify and validate two potent mitophagy inducers. These compounds improved neuronal survival and functionality, abrogated pathology in AD models, and enhanced memory.
NATURE BIOMEDICAL ENGINEERING
(2022)
Article
Biology
Hang Su, Dong Zhao, Hela Elmannai, Ali Asghar Heidari, Sami Bourouis, Zongda Wu, Zhennao Cai, Wenyong Gui, Mayun Chen
Summary: COVID-19 is spreading globally, and the diagnosis is usually based on examining chest radiographs. Manual processing of the images is not efficient and accurate enough. To improve the efficiency, this research proposes a multilevel thresholding image segmentation method based on an enhanced multiverse optimizer. The method achieves better segmentation results and can help medical organizations process COVID-19 chest radiography effectively.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Engineering, Biomedical
Minqiang Wang, Yiran Yang, Jihong Min, Yu Song, Jiaobing Tu, Daniel Mukasa, Cui Ye, Changhao Xu, Nicole Heflin, Jeannine S. McCune, Tzung K. Hsiai, Zhaoping Li, Wei Gao
Summary: A wearable electrochemical biosensor has been developed to continuously detect trace levels of multiple metabolites and nutrients in sweat during physical exercise and at rest, providing real-time monitoring and assessment of health risks and nutritional status.
NATURE BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Ali B. McMichael, Lindsay M. Ryerson, Damian Ratano, Eddy Fan, David Faraoni, Gail M. Annich, Graeme MacLaren, Giles J. Peek, Marie E. Steiner, Ravi R. Thiagarajan
Summary: These guidelines provide educational information for adult and pediatric anticoagulation in extracorporeal membrane oxygenation, aiming to support physicians and other health professionals in assessing and managing patients undergoing ECLS / ECMO. However, they are not consensus recommendations and do not guarantee successful outcomes. Adherence to guidelines should be coupled with clinical judgment and individual patient consultation.
Article
Computer Science, Artificial Intelligence
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Summary: This paper reviews the recent studies on applying deep learning methods in medical image analysis, emphasizing the latest progress and contributions of state-of-the-art unsupervised and semi-supervised deep learning in this field. It also discusses major technical challenges and suggests possible solutions for future research efforts.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Biotechnology & Applied Microbiology
Mitra Bagheri, Majid Validi, Abolfazl Gholipour, Pooyan Makvandi, Esmaeel Sharifi
Summary: The study developed chitosan/polyethylene oxide nanofibers embedded with antibacterial silver and zinc oxide nanoparticles, showing high antioxidant and antibacterial activity against common hospital-acquired infections. The optimal concentrations of ZnONPs and AgNPs were determined to have no cytotoxic effects on fibroblast cells, while also exhibiting good blood compatibility and promoting fibroblast migration and proliferation at wound sites. The nanofibrous mats demonstrated potential as effective wound dressings.
BIOENGINEERING & TRANSLATIONAL MEDICINE
(2022)
Article
Engineering, Biomedical
Yunhang Liu, Bolong Xu, Mingzhu Lu, Shanshan Li, Juan Guo, Fangzhou Chen, Xiaolu Xiong, Zhe Yin, Huiyu Liu, Dongsheng Zhou
Summary: Due to increasing antibiotic resistance, alternative antibacterial strategies are urgently needed. This study developed iron-doped carbon dots with photothermal conversion and photoenhanced enzyme-like properties for efficient antibacterial therapy and wound healing. The iron-doped carbon dots killed bacteria by generating heat and reactive oxygen species, and promoted wound healing through preventing infection, enhancing tissue proliferation, and inducing angiogenesis. This study is of great importance for finding new antibacterial approaches.
BIOACTIVE MATERIALS
(2022)
Article
Engineering, Biomedical
Chenxi Tu, Huidan Lu, Tong Zhou, Wanying Zhang, Liwen Deng, Wangbei Cao, Zhijian Yang, Zhaolong Wang, Xinyu Wu, Jie Ding, Feng Xu, Changyou Gao
Summary: In this study, a multifunctional hydrogel was designed and prepared for the treatment of diabetic wounds. The hydrogel showed abilities in scavenging ROS, killing bacteria, and protecting cells against oxidative stress. It also promoted wound healing and reduced inflammation.
Article
Engineering, Biomedical
Rui Yu, Meng Li, Zhenlong Li, Guoying Pan, Yuqing Liang, Baolin Guo
Summary: A novel supramolecular poly(N-isopropylacrylamide) hybrid hydrogel dressing with thermal contraction and tissue adhesion properties, as well as multiple mechanical and biological properties, is developed to achieve noninvasive wound closure and enhance wound healing simultaneously.
ADVANCED HEALTHCARE MATERIALS
(2022)
Review
Engineering, Biomedical
Lu Zhang, Chu-Xin Li, Shuang-Shuang Wan, Xian-Zheng Zhang
Summary: Chemodynamic therapy (CDT) is a novel cancer therapeutic strategy using a Fenton or Fenton-like reaction to generate highly cytotoxic hydroxyl radicals (·OH) from endogenous hydrogen peroxide (H2O2) to kill cancer cells, but its low catalytic efficiency and off-target side effects limit its biomedical application, so various strategies are needed to enhance its therapeutic effect.
ADVANCED HEALTHCARE MATERIALS
(2022)
Article
Engineering, Biomedical
Mi Zhang, Wenhui Hu, Chenhui Cai, Yu Wu, Jianmei Li, Shiwu Dong
Summary: Inflammatory arthritis is a leading cause of disability in the elderly, and the available treatment options are limited. To address this issue, researchers propose using stimuli-responsive nanomaterials to manage inflammatory arthritis, releasing therapeutic medications by triggering pathological changes.
MATERIALS TODAY BIO
(2022)
Article
Engineering, Biomedical
Kacey Ronaldson-Bouchard, Diogo Teles, Keith Yeager, Daniel Naveed Tavakol, Yimu Zhao, Alan Chramiec, Somnath Tagore, Max Summers, Sophia Stylianos, Manuel Tamargo, Busub Marcus Lee, Susan P. Halligan, Erbil Hasan Abaci, Zongyou Guo, Joanna Jackow, Alberto Pappalardo, Jerry Shih, Rajesh K. Soni, Shivam Sonar, Carrie German, Angela M. Christiano, Andrea Califano, Karen K. Hirschi, Christopher S. Chen, Andrzej Przekwas, Gordana Vunjak-Novakovic
Summary: This study reports the development and application of a tissue-chip system where matured human heart, liver, bone, and skin tissue niches are interconnected by recirculating vascular flow, allowing for the replication of interdependent organ functions and potentially enhancing clinical applicability.
NATURE BIOMEDICAL ENGINEERING
(2022)
