- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Epigenetics and DNA Methylation
- Bladder and Urothelial Cancer Treatments
- Ophthalmology and Visual Impairment Studies
- Corneal surgery and disorders
- COVID-19 Clinical Research Studies
- AI in cancer detection
- Ferroptosis and cancer prognosis
- Prostate Cancer Treatment and Research
- Urinary and Genital Oncology Studies
- Glaucoma and retinal disorders
- Cancer-related molecular mechanisms research
- Prostate Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Phenothiazines and Benzothiazines Synthesis and Activities
- Cancer-related gene regulation
- RNA modifications and cancer
- HIV Research and Treatment
- Advanced X-ray and CT Imaging
- Thermoregulation and physiological responses
- MicroRNA in disease regulation
- Medical Imaging and Pathology Studies
- Photoacoustic and Ultrasonic Imaging
Capital Medical University
2023-2025
Xi'an Jiaotong University
2025
Center for High Pressure Science & Technology Advanced Research
2025
Nanjing Drum Tower Hospital
2022-2024
Nanjing Medical University
2019-2024
Nanjing University of Posts and Telecommunications
2024
Monash University
2024
Shanghai East Hospital
2022-2024
Shanghai University of Engineering Science
2024
Shanghai Tenth People's Hospital
2019-2022
Abstract Abnormal metabolism of tumour cells is closely related to the occurrence and development breast cancer, during which expression NF‐E2‐related factor 2 (Nrf2) great significance. Metastatic cancer one most common causes death worldwide; however, molecular mechanism underlying metastasis remains unknown. In this study, we found that overexpression Nrf2 promoted proliferation migration cancers cells. Inhibition Kelch‐like ECH‐associated protein 1 (Keap1) reduced glucose‐6‐phosphate...
BackgroundArtificial intelligence (AI) models in real-world implementation are scarce. Our study aimed to develop a CT angiography (CTA)-based AI model for intracranial aneurysm detection, assess how it helps clinicians improve diagnostic performance, and validate its application clinical implementation.MethodsWe developed deep-learning using 16 546 head neck CTA examination images from 14 517 patients at eight Chinese hospitals. Using an adapted, stepwise evaluation, 120 certified 15...
Refer to the literature of lung nodule classification, many studies adopt Convolutional Neural Networks (CNN) directly predict malignancy nodules with original thoracic Computed Tomography (CT) and location. However, these cannot tell how CNN works in terms predicting given nodule, e.g., it's hard conclude that whether region within or contextual information matters according output CNN. In this paper, we propose an interpretable multi-task learning - Joint for Pulmonary Nodule Segmentation...
Rationale: Chest computed tomography (CT) has been used for the coronavirus disease 2019 (COVID-19) monitoring. However, imaging risk factors poor clinical outcomes remain unclear. In this study, we aimed to assess characteristics and associated with adverse composite endpoints in patients COVID-19 pneumonia. Methods: This retrospective cohort study enrolled laboratory-confirmed from 24 designated hospitals Jiangsu province, China, between 10 January 18 February 2020. Clinical initial CT...
To determine the patterns of chest computed tomography (CT) evolution according to disease severity in a large coronavirus 2019 (COVID-19) cohort Jiangsu Province, China.This retrospective study was conducted from January 10, 2020, February 18, 2020. All patients diagnosed with COVID-19 Province were included, retrospectively. Quantitative CT measurements pulmonary opacities including volume, density, and location extracted by deep learning algorithm. Dynamic these investigated symptom onset...
Epigenetic modifications such as histone and cytosine hydroxymethylation are linked to tumorigenesis. Loss of 5-hydroxymethylcytosine (5 hmC) by ten-eleven translocation 1 (TET1) down-regulation facilitates tumor initiation development. However, the mechanisms which loss TET1 knockdown promotes malignancy development remains unclear. Here, we report that induced epithelial-mesenchymal transition (EMT) increased cancer cell growth, migration, invasion in DLD1 cells. EZH2 expression reduced...
Abstract The COVID-19 pandemic overwhelms the medical resources in stressed intensive care unit (ICU) capacity and shortage of mechanical ventilation (MV). We performed CT-based analysis combined with electronic health records clinical laboratory results on Cohort 1 ( n = 1662 from 17 hospitals) prognostic estimation for rapid stratification PCR confirmed patients. These models, validated 2 700) 3 662) constructed nine external hospitals, achieved satisfying performance predicting ICU, MV,...
Abstract Bladder cancer is the most common malignancy with high recurrence. Currently, long noncoding RNAs (lncRNAs) have been suggested to play vital roles in pathogenesis of bladder cancer. The present study investigated role lncRNA MIR503 host gene (MIR503HG) by using both vitro and vivo functional assays. expression MIR503HG was downregulated tissues cell lines. Low associated advanced tumor stage, histological grade, lymph node metastasis. Ectopic inhibited proliferation, growth,...
Background Liver cancer (LC) is well known for its prevalence as poor prognosis. The aberrant expression of lysyl oxidase ( LOX ) family associated with liver cancer, but their function and prognostic value in LC remain largely unclear. This study aimed to explore the through bioinformatics analysis meta-analysis. Results levels all members were significantly increased LC. Area under receiver operating characteristic curve (AUC) LOXL2 was 0.946 positive predictive (PPV) 0.994. LOXL3...
Abstract Colorectal cancer (CRC) is the third‐leading cause of mortality worldwide. HACE1 function as a tumor‐suppressor gene and downregulated in several kinds cancers. However, distribution clinical significance CRC still not clarified. In this study, we found that expression greatly tissues cell lines. Moreover, was significantly associated with inhibition proliferation, metastasis, invasion. inhibited epithelial–mesenchymal transition cells. Furthermore, altered protein Hippo pathway by...
We put forward a method to easily generate single or sequence of fully developed speckle patterns with pre-defined correlation distribution by utilizing the principle coherent imaging. The few-to-one mapping between input matrix and simulated is realized there simple square relationship values these two coefficient sets. This demonstrated both theoretically experimentally. enables easy conversion from any desired distribution. Since can be defined digital gray-scale image acquired...
SIGNIFICANCE This study reveals that preschool children with insufficient physiological hyperopia experience accelerated myopic drift and axial length elongation. Regular monitoring can serve as an early warning for impending myopia during childhood, highlighting its critical role in future prevention strategies. PURPOSE examines the patterns of spherical equivalent biometric parameters if has shown tendency to regress by age whether onset regression accelerates onset. METHODS...
Background: Gastrointestinal cancer imposes a heavy public health burden worldwide. The six major subtypes of GI cases accounted for over quarter the total in China. We examined and predicted amount trend gastrointestinal Methods: collected crude incidence rate (CIR), age-standardized (ASIR), prevalence (ASPR), DALY rate, death (CDR), (ASDR) by gender, age, risk factors from Global Burden Disease 2021 database, covering period 1990 to 2021. used an age–period–cohort (APC) model calculate...
During clinical practice, radiologists often use attributes, e.g., morphological and appearance characteristics of a lesion, to aid disease diagnosis. Effectively modeling attributes as well all relationships involving could boost the generalization ability verifiability medical image diagnosis algorithms. In this paper, we introduce hybrid neuro-probabilistic reasoning algorithm for verifiable attribute-based There are two parallel branches in our algorithm, Bayesian network branch...