A5101572349- Radiomics and Machine Learning in Medical Imaging
- Blood groups and transfusion
- Pancreatic function and diabetes
- Retinal Imaging and Analysis
- Hepatitis B Virus Studies
- Diet, Metabolism, and Disease
- Diabetes and associated disorders
- Lung Cancer Diagnosis and Treatment
- HER2/EGFR in Cancer Research
- Monoclonal and Polyclonal Antibodies Research
- Alzheimer's disease research and treatments
- Erythrocyte Function and Pathophysiology
- Machine Learning in Healthcare
- Medical Research and Treatments
- Liver Disease Diagnosis and Treatment
- Artificial Intelligence in Healthcare
- Hepatitis C virus research
- Systemic Lupus Erythematosus Research
- Educational Reforms and Innovations
- Ocular Diseases and Behçet’s Syndrome
- Biomedical Text Mining and Ontologies
- Retinal and Optic Conditions
- Immunotherapy and Immune Responses
- Cancer Treatment and Pharmacology
- Gastrointestinal motility and disorders
Nantong University
2015-2025
Jiangsu Province Blood Center
2017-2024
Harbin Medical University
2023
First Affiliated Hospital of Harbin Medical University
2023
Capital Medical University
2014-2023
Qingdao Huanghai University
2022-2023
Xiamen University
2022
Northeastern University
2022
First Affiliated Hospital of GuangXi Medical University
2022
Guangxi Medical University
2022
Background: The efficient and accurate diagnosis of pulmonary adenocarcinoma before surgery is considerable significance to clinicians. Although computed tomography (CT) examinations are widely used in practice, it still challenging time-consuming for radiologists distinguish between different types subcentimeter nodules. there have been many deep learning algorithms proposed, their performance largely depends on vast amounts data, which difficult collect the medical imaging area. Therefore,...
Background Radiomics can yield minable information from medical images, which facilitate computer-aided diagnosis. However, the lack of repeatability and reproducibility radiomic features (RFs) may hinder their generalizability in clinical applications. Objectives The aims this study were to explore 3 main sources variability RFs, investigate influencing magnitudes patterns, identify a subset robust RFs for further studies. Materials Methods A chest phantom with nodules was scanned different...
Nucleophosmin 1 (NPM1) mutations have been identified in a substantial number of patients with acute myeloid leukemia (AML). Favorable outcomes AML cases NPM1 previously reported. However, widely differing survival estimates indicated. Therefore, meta-analysis nine studies including total 4509 subjects was performed. The frequency found to be 6.45-56.08%. NPM1-mutation type (NPM1-mt) had >2-fold higher odds achieving complete remission compared NPM1-wild-type (NPM1-wt). summary hazard ratio...
Abstract Background: RDC has become an attractive strategy in cancer treatment, but still faces significant drawbacks due to poor tumor penetration and undesirable pharmacokinetics of the most used targeting carriers, such as peptides, small molecules nanobodies. To address these limitations, we developed a robust versatile nanobody-based platform, that site-specifically conjugates molecular HSA binder into improve its druggability by increasing circulation half-life. The validation platform...
To develop and validate a nomogram for differentiating invasive adenocarcinoma (IAC) from in situ (AIS) minimally (MIA) presenting as ground-glass nodules (GGNs) measuring 5-10mm diameter.This retrospective study included 446 patients with 478 GGNs histopathologically confirmed AIS, MIA or IAC. These were assigned to primary cohort, an internal validation cohort external cohort. The segmentation of these on thin-slice computed tomography (CT) performed semi-automatically in-house software....
A knowledge graph is a structured representation of data that can express entity and relational knowledge. More attention has been paid to the study clinical graph, especially in field chronic diseases. However, construction based mainly on electronic medical records other sources, authority constructed presents some problems. Therefore, regarding quality evidence, this study, combination with experimental research system evaluation meta-analysis new information, On basis evidence-based...
TP63 plays an essential role in the development of epidermis and skin appendages. Mutations can give rise to a series syndromes characterized by various combinations ectodermal dysplasia, limb malformations, orofacial clefting many populations. To test whether is disease-causative gene for these phenotypes Chinese, we recruited two Chinese Ectrodactyly-Ectodermal-dysplasia-Cleft lip/palate syndrome (EEC) cases Limb-Mammary-Syndrome (LMS) patient carry out sequencing. Three missense mutation,...
To design a blockchain-based framework for the cross-enterprise document sharing (XDS) and integration of electronic health records (EHR). In compliance with integrated healthcare enterprise (IHE) profile, XDS EHRs were sent to EHR cloud repository from each registered providers or by users themselves, their link was shared incorporated into blockchain using same identifier patient. our proposed system, we used hash SHA-256, which is string 64 HEX characters (32 bytes), embossed it timestamp...
Immunogenicity is a major issue associated with the PK, efficacy, and safety evaluation of therapeutic protein products during pre-clinical clinical studies. A multi-tiered approach consisting screening, confirmatory, titration assays has been widely adopted for anti-drug antibody testing. GQ1001, recombinant humanized anti-human epidermal growth factor receptor 2 monoclonal covalently linked to cytotoxin DM1, possesses novel format antibody-drug conjugates. In this study, we reported...