A5101431365- Hydrogels: synthesis, properties, applications
- Advanced Technology in Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- AI and Big Data Applications
- Artificial Intelligence in Healthcare
- Neurological Disorders and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Educational Technology and Pedagogy
- Innovative Educational Techniques
- Advanced Glycation End Products research
- Advanced X-ray and CT Imaging
- Education, Safety, and Science Studies
- Biopolymer Synthesis and Applications
- Educational Research and Pedagogy
- Machine Learning in Bioinformatics
Northwest Normal University
2021-2024
Sun Yat-sen University
2023
Weihai Science and Technology Bureau
2019
Shandong University
2019
As an unavoidable non-enzymatic reaction between proteins and reducing sugars, glycation can decline antioxidant defense mechanisms, damage cellular organelles, form advanced end products (AGEs), thereby resulting in a series of destructive physiological diseases. Identification analysis protein sites will be beneficial to understand the complex pathogenesis related glycation. In this paper, new site predictor, DeepGly, is proposed based on deep learning framework with recurrent neural...
With the increasing importance of mathematics in basic education, how to evaluate and analyze intelligent effect teaching classroom through scientific methods has become one indicators classroom. This paper studies design application based on PCA-NN (principal component analysis-neural network) algorithm. Firstly, this briefly describes current research status Secondly, combined with key factors teaching, it formulates specific standards puts forward an adaptive strategy personalized...
Microvascular invasion (MVI) is a reliable predictor of the survival patients with hepatocellular carcinoma (HCC). Accurate preoperative MVI assessment essential to determine appropriate surgical approach and management strategy decrease HCC recurrence rate. In this study, evaluation method was proposed based on convolutional neural network (CNN) model. Using Computed Tomography (CT) volume data, relationship between CT data can be explored multi-modal multi-response CNN via an end-to-end A...