- Topological and Geometric Data Analysis
- Advanced Graph Neural Networks
- Cancer Treatment and Pharmacology
- Complex Network Analysis Techniques
- Blood disorders and treatments
- Digestive system and related health
- Neutropenia and Cancer Infections
- Bioinformatics and Genomic Networks
- Milk Quality and Mastitis in Dairy Cows
- Infant Nutrition and Health
Qingdao Academy of Agricultural Sciences
2025
Wuhan University
2023-2024
Objective: To explore the efficacy and safety of polyethylene glycal recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) in preventing chemotherapy-induced neutropenia patiens with breast cancer. Methods: There were two parts present phase Ⅳ clinical study. One was a randomized, controlled Patients this study received PEG-rhG-CSF or rhG-CSF first cycle followed both rest 3 cycles. The other one single arm who developed Ⅲ/Ⅳ grade screening cycles chemotherapy. Results: In...
Persistent homology, a fundamental technique within Topological Data Analysis (TDA), captures structural and shape characteristics of graphs, yet encounters computational difficulties when applied to dynamic directed graphs. This paper introduces the Dynamic Neural Dowker Network (DNDN), novel framework specifically designed approximate results filtration, aiming capture high-order topological features Our approach creatively uses line graph transformations produce both source sink...