Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
The abundance of complex and interconnected healthcare data offers numerous
opportunities to improve prediction, diagnosis, and treatment. Graph-structured data, which …
opportunities to improve prediction, diagnosis, and treatment. Graph-structured data, which …
Deep learning meta-analysis for predicting plant soil-borne fungal disease occurrence from soil microbiome data
Y Wang, Q Zou - Applied Soil Ecology, 2024 - Elsevier
Accurately predicting soil-borne fungal diseases linked to plant diseases through the
analysis of soil microbial communities is advantageous for early disease detection and …
analysis of soil microbial communities is advantageous for early disease detection and …
[HTML][HTML] Multi-Scale Information Fusion and Decoupled Representation Learning for Robust Microbe-Disease Interaction Prediction
W Wang, Q Yan, Q Liao, X Jin, Y Gong, L Zhuo… - Journal of …, 2024 - Elsevier
Research indicates that microbe activity within the human body significantly influences
health by being closely linked to various diseases. Accurately predicting microbe-disease …
health by being closely linked to various diseases. Accurately predicting microbe-disease …
MSIF-LNP: microbial and human health association prediction based on matrix factorization noise reduction for similarity fusion and bidirectional linear neighborhood …
H Xiang, R Guo, L Liu, T Guo, Q Huang - Frontiers in Microbiology, 2023 - frontiersin.org
Studies have shown that microbes are closely related to human health. Clarifying the
relationship between microbes and diseases that cause health problems can provide new …
relationship between microbes and diseases that cause health problems can provide new …
Ecf-Gan: Edge-Guided Cross-Sacle Fusion Generative Adversarial Network for Multi-Modal Medical Image Fusion
XJ Wei, Y Qiu, J Xu - Available at SSRN 4854191 - papers.ssrn.com
Multi-modal medical image fusion effectively integrates various structural and functional
information, which can compensate the limitations inherent in single-modality imaging …
information, which can compensate the limitations inherent in single-modality imaging …
[引用][C] Hui Xiang, Rong Guo, Li Liu 2, Tengjie Guo 3 and Quan Huang
H Xiang, R Guo, L Liu, T Guo - 2023 - europepmc.org
With the development of biological experiment technology, more and more studies have
proved that gene cells (Hu et al., 2023), drug development (Wang et al., 2023), human …
proved that gene cells (Hu et al., 2023), drug development (Wang et al., 2023), human …