A5101397388- Lung Cancer Treatments and Mutations
- Radiomics and Machine Learning in Medical Imaging
- Hematopoietic Stem Cell Transplantation
- Immune Cell Function and Interaction
- Cardiac Fibrosis and Remodeling
- Cancer-related molecular mechanisms research
- Herpesvirus Infections and Treatments
- Parkinson's Disease Mechanisms and Treatments
- Medical Imaging Techniques and Applications
- Immunotherapy and Immune Responses
- Cerebrovascular and genetic disorders
- interferon and immune responses
- Lung Cancer Diagnosis and Treatment
- Medical Imaging and Analysis
- Gastric Cancer Management and Outcomes
- T-cell and B-cell Immunology
- Glioma Diagnosis and Treatment
- Neuroblastoma Research and Treatments
- AI in cancer detection
- Lymphoma Diagnosis and Treatment
- Colorectal Cancer Treatments and Studies
- HER2/EGFR in Cancer Research
Wuhan University
2024
Zhongnan Hospital of Wuhan University
2024
Xi'an Jiaotong University
2022
Air Force Medical University
2022
Xijing Hospital
2022
Second Xiangya Hospital of Central South University
2022
Central South University
2022
Xiangya Hospital Central South University
2022
Soochow University
2015
First Affiliated Hospital of Soochow University
2015
Pre-treatment FDG-PET/CT scans were analyzed with machine learning to predict progression of lung malignancies and overall survival (OS). A retrospective review across three institutions identified patients a pre-procedure an associated malignancy diagnosis. Lesions manually automatically segmented, convolutional neural networks (CNNs) trained using inputs progression. Performance was evaluated area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity....
Abstract Background The aberrant secretion and excessive deposition of type I collagen (Col1) are important factors in the pathogenesis myocardial fibrosis dilated cardiomyopathy (DCM). However, precise molecular mechanisms underlying synthesis Col1 remain unclear. Methods results RNA-sequencing analysis revealed an increased HtrA serine peptidase 1 (HTRA1) expression patients with DCM, which is strongly correlated fibrosis. Consistent findings were observed both human mouse tissues by...
Tissue segmentation is an essential task in computational pathology. However, relevant datasets for such a pixel-level classification are hard to obtain due the difficulty of annotation, bringing obstacles training deep learning-based model. Recently, contrastive learning has provided feasible solution mitigating heavy reliance models on annotation. Nevertheless, applying loss most abstract image representations, existing frameworks focus global features, therefore, less capable encoding...
<h2>Abstract</h2> Donor killer immunoglobulin-like receptor (KIR) group B profiles (Bx) and homozygous of centromeric motif (Cen-B/B) are the most preferable KIR gene content motifs for hematopoietic stem cell transplantation (HSCT). The risk transplant from Bx1 donors benefit presence Cen-B (regardless number) were observed standard-risk acute myeloid leukemia/myelodysplastic syndrome (AML/MDS) patients in this 4-year retrospective study. A total 210 Chinese who underwent unrelated donor...
7532 Background: EGFR mutation is a strong predict factor of response and PFS to EGFR-TKI. However,at least 18% patients with wild type are susceptible TKIs, suggesting that might exist other mechanisms besides mutation. Here,we hypothesize the activation (phosphorylation) could be potential predictive biomarkers EGFR-TKI treatment among in absence mutations. Methods: Total 244 stage IIIb IV NSCLC pts who had tissue samples available for molecular analysis were included this study. 208 out...
Objective: To evaluate the efficacy of Hodgkin lymphoma (HL)-2013 regimen in treatment children with HL, and to investigate prognostic factors childhood HL. Methods: Clinical data 145 (aged ≤18 years) newly diagnosed treated HL-2013 8 tertiary referral centers for cancer from August 2011 April 2021 were analyzed retrospectively. All diagnosis confirmed by histopathological morphology immunohistochemical examination. The clinical characteristics outcomes summarized, patients divided into...