A5101262912- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Respiratory Support and Mechanisms
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Traumatic Brain Injury and Neurovascular Disturbances
- Retinal Imaging and Analysis
- Cardiac, Anesthesia and Surgical Outcomes
- Lung Cancer Research Studies
- AI in cancer detection
- Cancer Genomics and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Environmental Quality and Pollution
- Advanced Neural Network Applications
- PARP inhibition in cancer therapy
- Advanced Decision-Making Techniques
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Ocular Diseases and Behçet’s Syndrome
- Medical Imaging and Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Breast Lesions and Carcinomas
- Breast Cancer Treatment Studies
- Time Series Analysis and Forecasting
- Colorectal Cancer Screening and Detection
- Neural Networks and Applications
Liaoning University
2024
Shanghai Micro Satellite Engineering Center
2024
Innovation Academy for Microsatellites of Chinese Academy of Sciences
2024
Affiliated Eye Hospital of Wenzhou Medical College
2023-2024
Wenzhou Medical University
2023-2024
Peking University Shenzhen Hospital
2024
University of Shanghai for Science and Technology
2024
Tianjin Chengjian University
2024
Shanghai Tenth People's Hospital
2007-2010
Tongji University
2007-2010
Abstract Small cell lung cancer (SCLC) is a highly aggressive subtype of characterized by rapid tumor growth and early metastasis. Accurate prediction prognosis therapeutic response crucial for optimizing treatment strategies improving patient outcomes. In this study, we conducted deep-learning analysis Hematoxylin Eosin (H&E) stained histopathological images using contrastive clustering identified 50 intricate histomorphological phenotype clusters (HPCs) as pathomic features. We two...
Abstract Small cell lung cancer (SCLC) is a highly aggressive malignancy characterized by rapid growth and early metastasis susceptible to treatment resistance recurrence. Understanding the intra‐tumoral spatial heterogeneity in SCLC crucial for improving patient outcomes clinically relevant subtyping. In this study, whole transcriptome‐wide analysis of 25 patients at sub‐histological resolution using GeoMx Digital Spatial Profiling technology performed. This deciphered multi‐regional...
Homologous recombination deficiency (HRD) is a well-recognized important biomarker in determining the clinical benefits of platinum-based chemotherapy and PARP inhibitor therapy for patients diagnosed with gynecologic cancers. Accurate prediction HRD phenotype remains challenging. Here, we proposed novel Multi-Omics integrative Deep-learning framework named MODeepHRD detecting HRD-positive phenotype. utilizes convolutional attention autoencoder that effectively leverages omics-specific...
Abstract Background Acute retinal necrosis (ARN) is a relatively rare but highly damaging and potentially sight-threatening type of uveitis caused by infection with the human herpesvirus. Without timely diagnosis appropriate treatment, ARN can lead to severe vision loss. We aimed develop deep learning framework distinguish from other types intermediate, posterior, panuveitis using ultra-widefield color fundus photography (UWFCFP). Methods conducted two-center retrospective discovery...
Breast cancer (BC) is a complex and heterogeneous disease including different biological subtypes. This results in molecular phenotypic heterogeneity within the BC. Stratification of tumors contributed to achieving better outcome terms response therapy overall survival. Little known about features clonal lesion BC patient. We reported case 52-year-old woman who was diagnosed with luminal B (HER2-) accepted chemotherapy. She achieved partial based on RECIST 1.1 criteria. However, progressive...