A5067012365- Cytokine Signaling Pathways and Interactions
- Cancer Mechanisms and Therapy
- Nanoparticle-Based Drug Delivery
- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Electron Microscopy Techniques and Applications
- Pharmacology and Obesity Treatment
- COVID-19 Clinical Research Studies
- Liver physiology and pathology
- Advanced Biosensing Techniques and Applications
- Macrophage Migration Inhibitory Factor
- Biological and pharmacological studies of plants
- Phytochemistry and Biological Activities
- PI3K/AKT/mTOR signaling in cancer
- Ginseng Biological Effects and Applications
- Liver Disease Diagnosis and Treatment
- Advanced Neural Network Applications
- Diet and metabolism studies
- Protein Tyrosine Phosphatases
- Medical Image Segmentation Techniques
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Biosensors and Analytical Detection
- Bariatric Surgery and Outcomes
- Advanced biosensing and bioanalysis techniques
- Radiomics and Machine Learning in Medical Imaging
Southern University of Science and Technology
2018-2025
The University of Queensland
2024
Chinese Academy of Sciences
2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2022
University of Hong Kong
2018
Institute for Liver Health
2017
University College London
2017
Abstract Multi‐component nanoparticles (mNPs) hold great potential for disease prevention and treatment. However, a major barrier is the lack of versatile platforms to accommodate steps assembly processes mNPs. Here microfluidics‐enabled serial (MESA) mNPs presented. The microfluidic chip, as mini‐conveyor initial materials, sequentially enables sorafenib supramolecule, electrostatic adsorption siRNA, surface protective lipids. produced lipid‐siRNA‐sorafenib (LSS NPs) have ultrahigh...
Gold nanoparticle-based lateral flow immunoassays (AuNP LFIAs) are widely used point-of-care (POC) sensors for in vitro diagnostics. However, the sensitivity limitation of conventional AuNP LFIAs impedes detection trace biomarkers. Several studies have explored size and shape factors AuNPs derivative nanohybrids, showing limited improvements or enhanced at cost convenience affordability. Here, we investigated surface chemistry on LFIAs. By modifying ligands, a strategy involving weakly...
Single-particle cryo-electron microscopy (cryo-EM) has emerged as an indispensable technique in structural biology that is pivotal for deciphering protein architectures. However, the medium-sized proteins (30–40 kDa) are prevalent both eukaryotic and prokaryotic organisms often elude resolving capabilities of contemporary cryo-EM methods. To address this challenge, we engineered a scaffold strategy securely anchors interest to robust, symmetric base via selective adapter. Our most...
Abstract Antivirals that can combat coronaviruses, including SARS‐CoV‐2 and associated mutants, are urgently needed but lacking. Simultaneously targeting the viral physical structure replication cycle endow antivirals with sustainable broad‐spectrum anti‐coronavirus efficacy, which is difficult to achieve using a single small‐molecule antiviral. Thus, library of nanomaterials on GX_P2V, SARS‐CoV‐2‐like coronavirus pangolin origin, screened surface‐functionalized gold nanocluster (TMA‐GNC)...
Two pairs of novel trimeric dihydrophenanthrene-bibenzyl-dihydrophenanthrene enantiomers (1 and2), the first examples a dihydrophenanthrene dimer linked to bibenzyl or through C-O-C bond (3 and4), and pair rare polymers with connected C-8' dihydrophenanthro[b]furan moiety via methylene (5), together four known compounds (6-9) were isolated from tubers Bletilla striata. Their structures including absolute configurations determined using spectroscopic data analysis ECD NMR calculations,...
Image semantic segmentation based on deep learning attracted much attention in the field of computer vision recent years. In past few decades, tremendous developments medical imaging technology have made it possess an increasingly important role diagnosis. Therefore, image method algorithm is widely considered by many researchers processing field. this paper, first all, we introduced some methods learning, including point cloud data-based methods, Recurrent Neural Network (RNN)...
Abstract Sorafenib, the only standard chemotherapeutic drug for unresectable hepatocellular carcinoma (HCC), exerted unsatisfactory efficacy and resistance in HCC treatment, raising urgent need to develop effective therapeutic strategies. Based on clinical studies where constitutively activated signal transducer activator of transcription 3 (STAT3) was observed patients resistant sorafenib, we evaluated if an “add-on” strategy can be developed using STAT3 inhibitor, BP-1-102, potentiate...