A5002846535- Biosensors and Analytical Detection
- Machine Learning in Bioinformatics
- Microfluidic and Bio-sensing Technologies
- Heart Failure Treatment and Management
- Microfluidic and Capillary Electrophoresis Applications
- Congenital Heart Disease Studies
- Cell Image Analysis Techniques
- Bacterial Identification and Susceptibility Testing
- 3D Printing in Biomedical Research
- Viral Infections and Immunology Research
- Cardiovascular Function and Risk Factors
- Advanced biosensing and bioanalysis techniques
- Bacterial biofilms and quorum sensing
- Single-cell and spatial transcriptomics
- Molecular Junctions and Nanostructures
- IL-33, ST2, and ILC Pathways
- Erythrocyte Function and Pathophysiology
- Protein Structure and Dynamics
- Gene expression and cancer classification
- Computational Drug Discovery Methods
- Cardiomyopathy and Myosin Studies
- Cardiac Fibrosis and Remodeling
- Advanced Sensor and Energy Harvesting Materials
- Innovative Microfluidic and Catalytic Techniques Innovation
- Electrospun Nanofibers in Biomedical Applications
City University of Hong Kong
2022-2025
Hong Kong Science and Technology Parks Corporation
2025
Guangzhou Institutes of Biomedicine and Health
2024
University of Hong Kong
2024
South China Agricultural University
2018
Real-time monitoring of hemodynamics is crucial for diagnosing disorders within implanted vascular grafts and facilitating timely treatment. Integrating with advanced flexible electronics offers a promising approach to developing smart (SVGs) capable continuous hemodynamic monitoring. However, most existing SVG devices encounter significant challenges in practical applications, particularly regarding biomechanical compatibility the effective evaluation status. Here, we present...
Cellular deformability is a promising biomarker for evaluating the physiological state of cells in medical applications. Microfluidics has emerged as powerful technique measuring cellular deformability. However, existing microfluidic-based assays rely heavily on image analysis, which can limit their scalability high-throughput Here, we develop parallel constriction-based microfluidic flow cytometry device and an integrated computational framework (ATMQcD). The ATMQcD includes automatic...
Liquid biopsy is an alternative to invasive bone marrow for leukemia detection and management. However, no robust technology available enriching leukemic blast cells from the blood. Here, we present a simple effective protocol vigorous enrichment of whole blood using one-step microfluidic cell biochip (BCB) that exploits distinct mechanical properties between diseased healthy leukocytes. The BCB system achieves higher sensitivity than flow cytometry in detecting blasts. For complete details...
Background: Disulfide bonds are crucial to protein structural formation. Developing an effective method topredict disulfide bonding formation is important for modeling and functional study. Mostcurrent methods still have shortcomings, including low accuracy strict requirements the selection ofdiscriminative features. Results: In this study, we introduced a nested structure of Bidirectional Long-short Term Memory(BLSTM)neural network called Global-Local-BLSTM (GL-BLSTM) state prediction....
A central issue hindering the development of effective anti-fibrosis drugs for heart failure is unclear interrelationship between fibrosis and immune cells. This study aims at providing precise subtyping based on cell fractions, elaborating their differences in fibrotic mechanisms, proposing a biomarker panel evaluating intrinsic features patients' physiological statuses through subtype classification, thereby promoting precision medicine cardiac fibrosis.We inferred type abundance...
Background: In organisms' genomes, promoters are short DNA sequences on the upstream of structural genes, with function controlling genes' transcription. Promoters can be roughly divided into two classes: constitutive and inducible promoters. clear functional annotations practical synthetic biology biobricks. Many statistical machine learning methods have been introduced to predict functions candidate Spectral Eigenmap has proved an effective clustering method classify biobricks, while...