A5027481590- Bone Tissue Engineering Materials
- Silk-based biomaterials and applications
- 3D Printing in Biomedical Research
- Osteoarthritis Treatment and Mechanisms
- Tissue Engineering and Regenerative Medicine
- Knee injuries and reconstruction techniques
- Extracellular vesicles in disease
- Electrospun Nanofibers in Biomedical Applications
- Nanoplatforms for cancer theranostics
- Collagen: Extraction and Characterization
- Luminescence Properties of Advanced Materials
- Laser Applications in Dentistry and Medicine
- Electricity Theft Detection Techniques
- Tendon Structure and Treatment
- Domain Adaptation and Few-Shot Learning
- Dental Erosion and Treatment
- Imbalanced Data Classification Techniques
- Advanced Neural Network Applications
- Periodontal Regeneration and Treatments
- RNA Interference and Gene Delivery
- Additive Manufacturing and 3D Printing Technologies
- Financial Distress and Bankruptcy Prediction
- Human Pose and Action Recognition
- MicroRNA in disease regulation
Huzhou University
2024
University of Electronic Science and Technology of China
2024
Peking University
2017-2021
Peking University Third Hospital
2019-2021
University of Virginia
2017
Articular cartilage repair remains a great challenge for clinicians and researchers. Recently, there emerges promising way to achieve one-step in situ by combining endogenic bone marrow stem cells (BMSCs) with suitable biomaterials using tissue engineering technique. To meet the increasing demand engineering, structurally functionally optimized scaffold is designed, integrating silk fibroin gelatin combination BMSC-specific-affinity peptide 3D printing (3DP) technology. The ratio of greatly...
Meniscus deficiency, the most common and refractory disease in human knee joints, often progresses to osteoarthritis (OA) due abnormal biomechanical distribution articular cartilage abrasion. However, its anisotropic spatial architecture, complex microenvironment, limited vascularity, meniscus repair remains a challenge for clinicians researchers worldwide. In this study, we developed 3D printing-based biomimetic composite tissue-engineered scaffold consisting of polycaprolactone (PCL)/silk...
Fraud detection is an industry where incremental gains in predictive accuracy can have large benefits for banks and customers. Banks adapt models to the novel ways which "fraudsters" commit credit card fraud. They collect data engineer new features order increase power. This research compares algorithmic impact on power across three supervised classification models: logistic regression, gradient boosted trees, deep learning. also explores of creating using domain expertise feature...
Although advances in protein assembly preparation have provided a new platform for drug delivery during tissue engineering, achieving long-term controlled exosome remains significant challenge. Diffusion-dominated release using hydrogels results burst of exosomes. Here, fibroin-based cryo-sponge was developed to provide release. Fibroin chains can self-assemble into silk I structures under ice-cold conditions when annealed above the glass transition temperature. Exosome is enzyme-responsive,...
Silk fibroin (SF) is a natural polymer with low immunogenicity and good biocompatibility. However, most silk-based hydrogels formed through chemical or physical cross-linking are brittle, the preparation of which also inevitably introduces cytotoxic agents. Herein, simple strategy presented for synthesizing SF tunable mechanical properties by combining γ-ray radiation ethanol treatment. Neither toxic initiators nor agents utilized during whole procedure. For "soft" hydrogels, compressive...
Decellularized extracellular matrix (dECM) hydrogels are being increasingly investigated for use in bio-inks three-dimensional cell printing given their good cytocompatibility and biomimetic properties. The osmotic pressure stiffness of bio-ink important factors affecting the biological functions printed cells. However, little attention has been to dECM bio-inks. Here, we compared three types commonly used acidic solutions bio-fabrication a tendon derived 3D (0.5 M acetic acid, 0.1...
Improving the printability of pure, decellularized extracellular matrix (dECM) bio-ink without altering its physiological components has been a challenge in three-dimensional (3D) cell printing. To improve bio-ink, we first investigated digestion process powdered dECM material obtained from porcine tendons. We manifested tendon derived powders, which includes dissolution, gelatinization and solubilization. After short dissolution period (around 10 min), observed 'High viscosity slurry'...
Europium (Eu)-doped fluorapatite (FA) nanorods have a biocompatibility similar to that of hydroxyapatite (HA) for use as cell imaging biomaterials due their luminescent property. Here, we discuss the new application europium-doped (Eu-FA) an anticancer drug carrier. The Eu-FA were prepared by using hydrothermal method. morphology, crystal structure, fluorescence, and composition investigated. specific structure enables effective loading molecules. Doxorubicin (DOX), which was used model...
The human body has difficulty repairing damaged dental enamel, an acellular hard tissue. Researchers have sought feasible biomimicry strategies to repair enamel defects; however, few been successfully translated clinical applications. In this study, we propose a new method for achieving rapid mineralization under near-physiological environment. Through treatment with laser and chelating agents, 15 μm crystals could be grown compactly on substrate in less than 20 min. compact crystal layer...
The development of 3D printing techniques has provided a promising platform to study tissue engineering and mechanobiology; however, the pursuit printability limits possibility tailoring scaffolds' mechanical properties. brittleness those scaffolds also hinders potential clinical application. To overcome these drawbacks, double-network ink composed only natural biomaterials is developed. A shear-thinning hydrogel made silk fibroin (SF) methacrylated hyaluronic acid (MAHA) presents high...
Abstract Zero-shot learning represents a formidable paradigm in machine learning, wherein the crux lies distilling and generalizing knowledge from observed classes to novel ones. The objective is identify unfamiliar objects that were not included model’s training, leveraging learned patterns previously encountered categories. As crucial subtask of open-world object detection, zero-shot classification can also provide insights solutions for this field. Despite its potential, current models...