Engineering, Biomedical

Article Engineering, Biomedical

Multi-crosslinking hydrogels with robust bio-adhesion and pro-coagulant activity for first-aid hemostasis and infected wound healing

Chen-Yu Zou, Xiong-Xin Lei, Juan-Juan Hu, Yan-Lin Jiang, Qian-Jin Li, Yu-Ting Song, Qing-Yi Zhang, Jesse Li-Ling, Hui-Qi Xie

Summary: Bio-adhesive polysaccharide-based hydrogels with improved mechanical properties and bio-adhesion have been developed. These hydrogels exhibit excellent biocompatibility, antibacterial property and pro-healing bioactivity. They show superior hemostatic performance and promote infected wound healing due to their enhanced adhesive properties and procoagulant activity.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

Overcoming the obstacles of current photodynamic therapy in tumors using nanoparticles

Donghyun Lee, Soonmin Kwon, Seok-Young Jang, Eunyoung Park, Yeeun Lee, Heebeom Koo

Summary: Photodynamic therapy (PDT) faces challenges in tumor treatment, including drug delivery, light delivery, and tumor microenvironment. Nanoparticles have shown promising potential to overcome these challenges as drug carriers. Various approaches such as physicochemical optimization, ligand modification, and stimuli-responsive release have been explored in experiments, but more research is needed.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

Engineered gold/black phosphorus nanoplatforms with remodeling tumor microenvironment for sonoactivated catalytic tumor theranostics

Ting Chen, Weiwei Zeng, Changjun Tie, Mian Yu, Huisong Hao, Yang Deng, Qianqian Li, Hairong Zheng, Meiying Wu, Lin Mei

Summary: "Translation: The article introduces a new nanoplatform for sonodynamic therapy that uses ultrasound to induce the production of reactive oxygen species. The nanoplatform, Au/BP@MS, shows an increase in the efficiency of reactive oxygen species generation in tumor tissues, leading to significant inhibition of tumor growth. Furthermore, the nanoplatform exhibits responsiveness and degradability in the tumor microenvironment, enhancing its potential for clinical theranostics."

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images

Abhijit Bhattacharyya, Divyanshu Bhaik, Sunil Kumar, Prayas Thakur, Rahul Sharma, Ram Bilas Pachori

Summary: In this study, a new method based on X-ray images is proposed, utilizing segmentation and feature extraction of lung images along with artificial intelligence and machine learning models for classifying COVID-19, pneumonia, and normal lung images, achieving a high testing classification accuracy of 96.6%.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)

Article Biology

How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective

Zongda Wu, Shaolong Xuan, Jian Xie, Chongze Lin, Chenglang Lu

Summary: This paper proposes an effective confidential management solution for electronic medical records on the cloud, using a trusted local server to ensure the confidentiality, accuracy, and efficiency of the records.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Computer Science, Interdisciplinary Applications

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis

Shengye Hu, Baiying Lei, Shuqiang Wang, Yong Wang, Zhiguang Feng, Yanyan Shen

Summary: This paper proposes a 3D end-to-end synthesis network called BMGAN for synthesizing PET images from brain MR images. The method utilizes a bidirectional mapping mechanism and employs a 3D Dense-UNet generator architecture and hybrid loss functions to generate high-quality cross-modality synthetic images while preserving the diverse brain structures of different subjects.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2022)

Article Biology

Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm

Jianfu Xia, Daqing Yang, Hong Zhou, Yuyan Chen, Hongliang Zhang, Tong Liu, Ali Asghar Heidari, Huiling Chen, Zhifang Pan

Summary: A new parameter optimization strategy based on DFSCA is proposed and integrated into KELM to establish DFSCA-KELM, improving optimization performance. Experimental results demonstrate the effectiveness of the model in medical diagnosis.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Engineering, Biomedical

An injectable, self-healing, electroconductive extracellular matrix-based hydrogel for enhancing tissue repair after traumatic spinal cord injury

Yian Luo, Lei Fan, Can Liu, Huiquan Wen, Shihuan Wang, Pengfei Guan, Dafu Chen, Chengyun Ning, Lei Zhou, Guoxin Tan

Summary: This study developed an injectable self-healing electroconductive hydrogel for the treatment of traumatic spinal cord injury. The hydrogel showed mechanical and conductive properties similar to natural spinal cord tissues, promoting tissue repair and achieving significant locomotor function restoration in a rat model.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

Biofunctionalized composite scaffold to potentiate osteoconduction, angiogenesis, and favorable metabolic microenvironment for osteonecrosis therapy

Tongtong Zhu, Mengyang Jiang, Mingran Zhang, Liguo Cui, Xiaoyu Yang, Xukai Wang, Guangyao Liu, Jianxun Ding, Xuesi Chen

Summary: This study developed a bio-functionalized composite scaffold for osteonecrosis therapy, which showed excellent performances in enhancing osteoconduction, angiogenesis, and a favorable metabolic microenvironment.

BIOACTIVE MATERIALS (2022)

Review Engineering, Biomedical

The horizon of bone organoid: A perspective on construction and application

Shuangshuang Chen, Xiao Chen, Zhen Geng, Jiacan Su

Summary: The repair and regeneration of bone defects caused by various factors have always been a key issue in clinical practice. Bone tissue engineering technology has greatly accelerated the speed and quality of bone regeneration by providing functional scaffold materials and seed cells. However, the complicated bone metabolism mechanism poses challenges to research in bone regeneration. Organoids, as a new concept, show promising application prospects in organ development, drug screening, and mechanism study.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

Enhanced tendon healing by a tough hydrogel with an adhesive side and high drug-loading capacity

Benjamin R. Freedman, Andreas Kuttler, Nicolau Beckmann, Sungmin Nam, Daniel Kent, Michael Schuleit, Farshad Ramazani, Nathalie Accart, Anna Rock, Jianyu Li, Markus Kurz, Andreas Fisch, Thomas Ullrich, Michael W. Hast, Yann Tinguely, Eckhard Weber, David J. Mooney

Summary: A hydrogel with high-capacity drug storage function has been found to promote tissue healing in tendon injuries. This hydrogel has a tough structure on one side and an adhesive surface on the other, allowing it to support tendon gliding and strong adhesion. Through experiments, it has been shown that this hydrogel enhances healing and reduces scar formation in rat models of tendon rupture, and can sustainably release drugs. It has potential for biomedical applications.

NATURE BIOMEDICAL ENGINEERING (2022)

Review Biotechnology & Applied Microbiology

A New Wave of Industrialization of PHA Biopolyesters

Martin Koller, Anindya Mukherjee

Summary: The increasing use of plastics and their negative impact on the environment has led to the development of renewable and biodegradable materials. Polyhydroxyalkanoates (PHAs), a class of biopolymers synthesized by microorganisms, have properties similar to petrochemical plastics but can biodegrade in various environments. The emergence of the PHA industry has attracted the attention of chemical companies, start-ups, and brand owners who are now producing and utilizing PHAs in various applications. This commercialization wave of PHAs holds great potential in reducing plastic pollution and fighting climate change.

BIOENGINEERING-BASEL (2022)

Article Engineering, Biomedical

Tumor-derived exosomes co-delivering aggregation-induced emission luminogens and proton pump inhibitors for tumor glutamine starvation therapy and enhanced type-I photodynamic therapy

Daoming Zhu, Tianfu Zhang, Yang Li, Chunyu Huang, Meng Suo, Ligang Xia, Youhua Xu, Guoxin Li, Ben Zhong Tang

Summary: In this research, tumor-derived exosomes were used to co-deliver AIEgens and PPI for tumor combination therapy. Inhibition of tumor cell glutamine metabolism enhanced the effect of photodynamic therapy.

BIOMATERIALS (2022)

Review Biology

A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

Muhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, Eid Rehman, Sajid Ali Khan, Muhammad Attique Khan, Seifedine Kadry, Amir H. Gandomi

Summary: This article provides a comprehensive overview of multimodal medical image fusion methodologies, databases, and quality measurements. Medical imaging modalities are categorized based on radiation, visible-light imaging, microscopy, and multimodal imaging. Fusion techniques are classified into categories including frequency fusion, spatial fusion, decision-level fusion, deep learning, hybrid fusion, and sparse representation fusion. The associated diseases for each modality and fusion approach are presented, and quality assessment fusion metrics are also discussed.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Engineering, Biomedical

Glucose-responsive multifunctional metal-organic drug-loaded hydrogel for diabetic wound healing

Jiaxin Yang, WeiNan Zeng, Ping Xu, Xiaoxue Fu, Xiaojuan Yu, Lu Chen, Feng Leng, Chao Yu, Zhangyou Yang

Summary: In this study, a glucose-responsive multifunctional metal-organic drug-loaded hydrogel (DG@Gel) was designed for diabetic wound healing. The hydrogel changed the hyperglycemic wound microenvironment, exhibited antibacterial and angiogenic activity, and showed good biocompatibility and biodegradability in vivo.

ACTA BIOMATERIALIA (2022)

Article Biology

Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study

Mei Yu, Ming Han, Xuewei Li, Xi Wei, Han Jiang, Huiling Chen, Ruiguo Yu

Summary: The article introduces a weakly supervised segmentation neural network approach that addresses segmentation issues in medical images using a dual branch soft erase module and scale feature adaptation module, while further enhancing the nodule edge segmentation effect with an edge-based attention mechanism.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Biology

Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey

Fatma Ozkose, Mehmet Yavuz

Summary: This study investigates the interactions between COVID-19 and diabetes using real data from Turkey. A fractional order pandemic model is developed to examine the spread of COVID-19 and its relationship with diabetes. By fitting the parameters using least-squares curve fitting technique and conducting numerical simulations, the direction of COVID-19 spread is predicted. The effects of different fractional order derivatives on the COVID-19 pandemic and diabetes are also investigated.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Computer Science, Artificial Intelligence

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation

Duwei Dai, Caixia Dong, Songhua Xu, Qingsen Yan, Zongfang Li, Chunyan Zhang, Nana Luo

Summary: Computer-Aided Diagnosis (CAD) for dermatological diseases is an important application of deep learning technologies, and the proposed Multi-scale Residual Encoding and Decoding network (Ms RED) shows superior performance in accurately segmenting skin lesions. Experimental results demonstrate that Ms RED outperforms several state-of-the-art methods in popular evaluation criteria.

MEDICAL IMAGE ANALYSIS (2022)

Review Engineering, Biomedical

A review on current research status of the surface modification of Zn-based biodegradable metals

Wei Yuan, Dandan Xia, Shuilin Wu, Yufeng Zheng, Zhenpeng Guan, Julietta Rau

Summary: Zinc and its alloys have been proposed as candidate materials for biodegradable metals (BMs) due to their corrosion behavior and biocompatibility. However, surface treatment for Zn-based BMs is desired to better control their degradation behavior. This review summarizes the current surface modification methods of Zn-based alloys, the recent progress in biomedical Zn-based BMs and their surface modification strategies, and proposes future perspectives for designing bio-functionalized coatings on Zn-based BMs for orthopedic and cardiovascular applications.

BIOACTIVE MATERIALS (2022)

Article Engineering, Biomedical

In vivo printing of growth factor-eluting adhesive scaffolds improves wound healing

Kristo Nuutila, Mohamadmahdi Samandari, Yori Endo, Yuteng Zhang, Jacob Quint, Tannin A. Schmidt, Ali Tamayol, Indranil Sinha

Summary: This study demonstrates the benefits of in vivo printed adhesive scaffolds for the treatment of full-thickness wounds. The scaffold is able to adhere to curved surfaces of wet tissues and release growth factors to enhance wound healing. The introduced in vivo printing strategy is convenient and does not require expensive equipment.

BIOACTIVE MATERIALS (2022)