A5010405626- Lung Cancer Treatments and Mutations
- Cancer Immunotherapy and Biomarkers
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Research Studies
- Ferroptosis and cancer prognosis
- Lung Cancer Diagnosis and Treatment
- Automotive and Human Injury Biomechanics
- RNA modifications and cancer
- HER2/EGFR in Cancer Research
- Endometrial and Cervical Cancer Treatments
- Cancer therapeutics and mechanisms
- Cancer Genomics and Diagnostics
- Glioma Diagnosis and Treatment
- Epigenetics and DNA Methylation
- Aortic Disease and Treatment Approaches
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
- Immune Response and Inflammation
- Spinal Fractures and Fixation Techniques
- Aortic aneurysm repair treatments
- Brain Metastases and Treatment
- Pelvic floor disorders treatments
- Fetal and Pediatric Neurological Disorders
- Liver physiology and pathology
- Cancer-related molecular mechanisms research
United Imaging Healthcare (China)
2021-2025
Guangdong Academy of Medical Sciences
2021-2025
Guangdong Provincial People's Hospital
2021-2025
First Affiliated Hospital of Hunan University of Traditional Chinese Medicine
2009-2024
Shenzhen Bao'an District People's Hospital
2019-2024
Obstetrics and Gynecology Hospital of Fudan University
2020-2024
Tsinghua University
2018-2024
The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine
2024
Shenzhen University
2021-2023
Hainan Medical University
2021-2023
In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk (OARs) and tumors. However, it the most time-consuming step as manual delineation always required from radiation oncologists. Herein, we propose a lightweight deep learning framework treatment planning (RTP), named RTP-Net, promote automatic, rapid, precise initialization of whole-body OARs Briefly, implements cascade coarse-to-fine segmentation, with adaptive module both small large organs,...
Lung cancer is the leading cause of deaths worldwide. Accurately diagnosing malignancy suspected lung nodules paramount clinical importance. However, to date, pathologically-proven nodule dataset largely limited and highly imbalanced in benign malignant distributions. In this study, we proposed a Semi-supervised Deep Transfer Learning (SDTL) framework for benign-malignant pulmonary diagnosis. First, utilize transfer learning strategy by adopting pre-trained classification network that used...
Abstract Thyroid cancer is a common endocrine malignancy with rapidly increasing incidence worldwide. Although its mortality steady or declining because of earlier diagnoses, survival rate varies different tumour types. Thus, the aim this study was to identify key biomarkers and novel therapeutic targets in thyroid cancer. The expression profiles GSE3467, GSE5364, GSE29265 GSE53157 were downloaded from Gene Expression Omnibus database, which included total 97 48 normal samples. After...
Acute respiratory distress syndrome (ARDS) is an uncontrollable, progressive pulmonary inflammatory disease, and as a common clinical critical there no effective treatment available. Electroacupuncture (EA) therapy type of traditional Chinese medicine physiotherapy that can alleviate the response. However, potential mechanism EA in ARDS not yet clear. Ferroptosis new programmed cell death characterized by intracellular iron accumulation lipid peroxidation. Recently, emerging evidence has...
Curcumin, one of the active ingredients <em>Curcuma longa</em> (Jianghuang), has been reported to exert multiple bioactivities, including pro‑apoptotic and anti‑inflammatory activities. In recent years, curcumin extensively studied, it revealed that inhibits growth numerous types cancer. However, best our knowledge, inhibitory effects on activation or expansion myeloid‑derived suppressor cells (MDSCs) in liver cancer underlying mechanism have not yet determined. Therefore, present study...
Abstract Background Solid pulmonary nodules are different from subsolid and the diagnosis is much more challenging. We intended to evaluate diagnostic prognostic value of radiomics deep learning technologies for solid nodules. Methods Retrospectively enroll patients with pathologically-confirmed collect clinical data. Obtain pre-treatment high-resolution thoracic CT manually delineate nodule in 3D. Then, all were randomly divided into training testing sets at a ratio 7:3, convolutional...
Background Brain metastasis (BM) is a serious neurological complication of cancer different origins. The value deep learning (DL) to identify multiple types primary origins remains unclear. Purpose To distinguish site BM and the best DL models. Study Type Retrospective. Population A total 449 derived from 214 patients (49.5% for female, mean age 58 years) (100 small cell lung [SCLC], 125 non‐small [NSCLC], 116 breast [BC], 108 gastrointestinal [GIC]) were included. Field Strength/Sequence...
Background The sivelestat is a neutrophil elastase inhibitor thought to have an effect against acute lung injury (ALI) in patients after scheduled cardiac surgery. However, the beneficial of undergoing emergent cardiovascular surgery remains unclear. We aim evaluate on pulmonary protection with ALI Methods Firstly, case-control study 665 from January 1 st , 2020 October 26 th 2022 was performed. 52 who received (0.2mg/kg/h for 3 days) and 613 age- sex-matched controls. Secondly,...
Lung cancer is the leading cause of cancerrelated mortality worldwide. In addition to localizing and segmenting lung nodules, a non-invasive risk assessment system can also help clinicians tailor treatment decisions in timely manner, ultimately improving patient outcomes. Artificial intelligence (AI) technologies are increasingly being used medical imaging assess especially for malignancy classification. However, little research has been conducted on other related risks. This work...
Fast and low-dose reconstructions of medical images are highly desired in clinical routines. We propose a hybrid deep-learning iterative reconstruction (hybrid DL-IR) framework apply it for fast magnetic resonance imaging (MRI), positron emission tomography (PET), computed (CT) image generation tasks. First, retrospective MRI study (6,066 cases), we demonstrate its capability handling 3- to 10-fold under-sampled MR data, enabling organ-level coverage with only 10- 100-s scan time; second, CT...
Abstract Background: IBI351 (GFH925) is an irreversibly covalent inhibitor of KRASG12C. Data from prior data cutoffs (primary: Feb, 2022; initial update: July, 2022) showed that was well-tolerated and demonstrated promising efficacy in patients (pts) with advanced solid tumors harboring KRAS p.G12C mutation. Here, we update results this phase I study evaluating pts again. Methods: Pts locally advanced, recurrent or metastatic KRASG12C mutation for whom standard therapy had failed were...