A5027700803- Polymer Surface Interaction Studies
- Electrospun Nanofibers in Biomedical Applications
- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- vaccines and immunoinformatics approaches
- Biochemical and Structural Characterization
- Digital Holography and Microscopy
- Surface Modification and Superhydrophobicity
- Advanced biosensing and bioanalysis techniques
- Nanoplatforms for cancer theranostics
- 3D Printing in Biomedical Research
- Advanced Biosensing Techniques and Applications
- Computational Drug Discovery Methods
- Human Pose and Action Recognition
- Explainable Artificial Intelligence (XAI)
- Advanced Vision and Imaging
- Fluid Dynamics and Heat Transfer
- Antimicrobial Peptides and Activities
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Rough Sets and Fuzzy Logic
- Plant-based Medicinal Research
- Advanced Drug Delivery Systems
- Solar-Powered Water Purification Methods
- Photodynamic Therapy Research Studies
Zhejiang University
2018-2024
Southeast University
2023-2024
Donghua University
2024
Hangzhou Xixi hospital
2020-2021
Yangtze River Delta Physics Research Center (China)
2021
Hangzhou Academy of Agricultural Sciences
2019
Abstract Surfaces with macro‐scale hydrophilic/hydrophobic regions (conventional Janus mode) are often considered as prime candidates for fog harvesting. However, the water collection efficiency of such surfaces frequently fails to meet requirements practical applications due occurrence surface flooding caused by droplet pinning. Here, an in situ molecular confined modification strategy is proposed construct upgraded mode achieving nanoscale drag reduction effect, thereby improving...
An efficient photodynamic antibacterial spray-coating is developed with a very low MB density and high singlet oxygen quantum yield.
A biodegradable phosphorylcholine-based copolymer synthesized <italic>via</italic> one-step radical ring-opening polymerization may be a promising material for stent coating.
The combinational density of immobilized functional molecules on biomaterial surfaces directs cell behaviors. However, limited by the low efficiency traditional low-throughput experimental methods, investigation and optimization remain daunting challenges. Herein, we report a high-throughput screening set-up to study surface functionalization integrating photo-controlled thiol-ene chemistry machine learning-based label-free identification statistics. Through such strategy, specific...
The drug-eluting stent (DES) has become one of the most successful and important medical devices for coronary heart disease, but yet suffers from insufficient endothelial cell (EC) growth intima repair, eventually leading to treatment failure. Although biomacromolecules such as vascular factor (VEGF) would be promising promote regeneration, combining hydrophilic vulnerable with hydrophobic drugs well preserving bioactivity after harsh treatments pose a huge challenge. Here, we report on...
Generating a biofunctional film that can mimic the extracellular matrix (ECM) in an efficient and robust technique may have great potential for medical devices, tissue engineering, regenerative medicines. Herein, facile approach to generate ECM biomimetic films based on humidity-triggered relaxation of polyelectrolyte complex (PEC) nanoparticles is reported. The poly(l-lysine) hyaluronan are precomplexed sprayed onto substrate, which, via trigger vaporous water, be transformed into even...
Hyaluronic acid (HA) hydrogel array with an orthogonal gradient of RGD and YIGSR density was generated through thiol-norbornene click chemistry optimized peptide combinations for cell selective adhesion were screened out.
A combinatorial library of 111 720 candidates was constructed based on Ugi reaction. latent space constraint neural network model integrated into the screening workflow to discover antibacterial leads against methicillin-resistant Staphylococcus aureus (MRSA) with alleviated drug resistance.
The concept of high-throughput screening sheds new light on fabrication and analysis materials. Herein, a combinatorial surface-modified platform with biochemical gradients was developed through thiol–ene "click" chemistry by adjusting the intensity ultraviolet (UV) irradiation. Contact angle, X-ray photoelectron spectroscopy, ellipsometry measurement results demonstrated that sulfhydryl molecules including polyethylene glycol RGD (arginine–glycine–aspartic acid) REDV (arginine–glutamic...
The increasing throughput of experiments in biomaterials research makes automatic techniques more and necessary. Among all the characterization methods, microscopy fundamental contributions to science where precisely focused images are basis related research. Although focusing has been widely applied kinds microscopes, defocused can still be acquired now then due factors including background noises materials mechanical errors. Herein, we present a deep-learning-based method for sorting...
Abstract Cell morphology analysis is crucial in life science. Accurate determination of differences cell great significance understanding states under different conditions. However, conventional approaches for are constrained efficiency or accuracy many circumstances. Thus, an efficient and reliable method to profile morphological needed. In this study, deep learning used image demonstrate its ability find non‐apparent differences. The convolutional neural network can accurately classify...
Abstract Cell identification and counting in living coculture systems are crucial cell interaction studies, but current methods primarily rely on complicated time‐consuming staining techniques. Here, a label‐free method to precisely recognize, identify, instantly count cells situ via combinational machine learning models s presented. A convolutional neural network (CNN) model is first used generate virtual images of nuclei based unlabeled phase‐contrast images. Coordinates all the then...
Microarrays with biochemistry gradients were rapidly fabricated <italic>via</italic> light-induced thiol–ene “click” chemistry and showed great applicability in cell behaviors screening.
CTR(click through rate) prediction is a useful tool for enterprises to get the customer's preferences and usually applied in recommender system advertisement. With development of technology, there are many machine learning algorithms proposed predict CTR, such as generalized linear model, factorization machines deep neural network. However, all these models owns disadvantages. And our paper, we utilize DeepFM which an end model do not need manual feature engineering. The combination FM...
Coating modification such as drug-eluting coating is one of the most important approaches for functionalization biomedical devices. However, throughputs are limited in conventional methods and concept miniaturization rarely fulfilled. A droplet microarray (DMA), a unique high-throughput platform, can avoid cross-contamination reduce consumption materials which inherently suitable research yet difficult to apply with via traditional methods. Here, we bring up facile method based on ultrasonic...
Experimental study on the aerodynamic performance of bionic rotor blades