A5048646951- Retinal Imaging and Analysis
- Ocular Oncology and Treatments
- Cancer, Hypoxia, and Metabolism
- Glaucoma and retinal disorders
- Digital Imaging for Blood Diseases
- RNA modifications and cancer
- interferon and immune responses
- Speech and dialogue systems
- Reinforcement Learning in Robotics
- Natural Language Processing Techniques
- Autophagy in Disease and Therapy
- Cancer-related molecular mechanisms research
- Artificial Intelligence in Games
- Service-Oriented Architecture and Web Services
- Corneal Surgery and Treatments
- Metabolomics and Mass Spectrometry Studies
- Imbalanced Data Classification Techniques
- Retinal Diseases and Treatments
- Lipid metabolism and biosynthesis
- Hippo pathway signaling and YAP/TAZ
- RNA Research and Splicing
- Topic Modeling
- Semantic Web and Ontologies
- Retinal and Optic Conditions
Shanghai Ninth People's Hospital
2021-2025
Shanghai Jiao Tong University
2021-2025
Chongqing University
2022
Shanghai Institute of Hematology
2021-2022
Chongqing Medical University
2017-2019
Tokushima University
2018
Abstract The most common intraocular pediatric malignancy, retinoblastoma (RB), accounts for ≈10% of cancer in children. Efficient monitoring can enhance living quality patients and 5‐year survival ratio RB up to 95%. However, is still insufficient regions with limited resources the mortality may even reach over 70% such areas. Here, an platform by machine learning aqueous humor metabolic fingerprinting (AH‐MF) developed, using nanoparticle enhanced laser desorption/ionization mass...
Abstract Purpose To explore whether varying degrees of vitreous haemorrhage (VH) and calcification act as risk factors for enucleation in patients with advanced retinoblastoma (RB). Methods Advanced RB was defined by the international classification (Philadelphia version). Basic information diagnosed groups D E our hospital between January 2017 June 2022 reviewed logistics regression models. Additionally, a correlation analysis performed, excluding variables VIF (variance inflation factor)...
Advanced Metabolic Analysis In article number 2101220, Qian, Fan, Jia, and co-workers have developed a nanoparticle enhanced laser desorption/ionization mass spectrometry platform to record aqueous humor metabolic fingerprinting (AH-MF) of retinoblastoma (RB) with high performance. Early advanced RB patients are differentiated by machine learning AH-MF identified biomarkers area-under-the-curve over 0.9 accuracy 80%. This work will contribute analysis eye diseases.
Our work is about conversation system based on script, supposing to design an adaptive agent. Purpose of this paper verify our idea the transforming from text image, and implement approach find a new way feature characterization for system. With sent2vec SIFT, we designed expression features conducted experiments classify situations as Image Processing. Good results in close tests bad open indicate necessity further insignificance characterization.
Glaucoma gradually deteriorates the optic nerve to total blindness, causing irreversible visual loss. When glaucoma patients have field abnormalities, they are essentially in advanced stages of disease. Consequently, early detection prevent impairment is crucial. Due their non-invasive nature and simplicity observation, color fundus photographs become an important screening tool for eye diseases. This paper proposes attention-based network based on glaucoma. Specifically, this study,...