A5004186787- Biosensors and Analytical Detection
- Fluid Dynamics and Vibration Analysis
- Model Reduction and Neural Networks
- Vibrio bacteria research studies
- Gallbladder and Bile Duct Disorders
- Gastrointestinal Bleeding Diagnosis and Treatment
- Oil and Gas Production Techniques
- CRISPR and Genetic Engineering
- Image Processing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Colorectal Cancer Screening and Detection
- SARS-CoV-2 detection and testing
- Computational Physics and Python Applications
Sichuan University
2024
State Key Laboratory of Food Science and Technology
2022-2023
Nanchang University
2022-2023
Tsinghua University
2023
Salmonella is a type of common foodborne pathogen global concern, seriously endangering human health. In molecular biological detection Salmonella, the method amplifying DNA often faces problem aerosol pollution. this study, microfluidic chip was developed to integrate loop-mediated isothermal amplification (LAMP) and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a system detect Salmonella. The LAMP reaction solution initially injected into chamber amplify at 65 °C...
The prevalence of Gastrointestinal (GI) diseases exhibits a long-tailed distribution, resulting in the pervasive presence highly imbalanced classes within real-world clinical GI endoscopy datasets. This poses challenge for deep learning methods to train unbiased models capable accurately classifying with limited labeled data, especially minority classes. Moreover, datasets collected from diverse centers often exhibit distributional shifts and encompass distinct disease classes, thus...
In recent years, applying deep learning to solve physics problems has attracted much attention. Data-driven methods produce operators that can learn solutions the whole system of partial differential equations. However, existing are only evaluated on simple flow equations (e.g., Burger's equation), and consider generalization ability different initial conditions. this paper, we construct CFDBench, a benchmark with four classic in computational fluid dynamics (CFD): lid-driven cavity flow,...
Salmonella causes a huge proportion of foodborne diseases worldwide. There are over 2650 serotypes isolates with varying virulence and pathogenicity, while the serotype classification by traditional slide agglutination tests is time-consuming tedious. Multiple immunochromatographic assays can distinguish multiple targets simultaneously in high throughput but often limited to visually confusing interpretation results. Herein, we established spatial color co-recognition assay based on...
In recent years, applying deep learning to solve physics problems has attracted much attention. Data-driven methods produce fast numerical operators that can learn approximate solutions the whole system of partial differential equations (i.e., surrogate modeling). Although these neural networks may have lower accuracy than traditional methods, they, once trained, are orders magnitude faster at inference. Hence, one crucial feature is generalize unseen PDE parameters without expensive...