A5005040479- COVID-19 Clinical Research Studies
- COVID-19 diagnosis using AI
- Lymphatic Disorders and Treatments
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Long-Term Effects of COVID-19
- Vascular Malformations and Hemangiomas
- Lung Cancer Diagnosis and Treatment
- Advanced Multi-Objective Optimization Algorithms
- Lymphatic System and Diseases
- Microbial Inactivation Methods
- Congenital Diaphragmatic Hernia Studies
- Advanced MRI Techniques and Applications
- SARS-CoV-2 and COVID-19 Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Tracheal and airway disorders
- Renal cell carcinoma treatment
- COVID-19 and healthcare impacts
- Hate Speech and Cyberbullying Detection
- Nanoplatforms for cancer theranostics
- Probabilistic and Robust Engineering Design
- Medical Imaging and Pathology Studies
- Manufacturing Process and Optimization
- Inhalation and Respiratory Drug Delivery
- Spectroscopy and Chemometric Analyses
Huazhong University of Science and Technology
2014-2025
Shanghai Pulmonary Hospital
2020-2025
Tongji University
2021-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2018-2025
Union Hospital
2018-2025
Soochow University
2025
Union Hospital
2013-2024
First Affiliated Hospital of Fujian Medical University
2024
Fujian Medical University
2024
PLA 306 Hospital
2024
Background Chest CT is used to assess the severity of lung involvement in coronavirus disease 2019 (COVID-19). Purpose To determine changes chest findings associated with COVID-19 from initial diagnosis until patient recovery. Materials and Methods This retrospective review included patients real-time polymerase chain reaction–confirmed who presented between January 12, 2020, February 6, 2020. Patients severe respiratory distress and/or oxygen requirement at any time during course were...
Abstract The most severe sequelae after rehabilitation from SARS are femoral head necrosis and pulmonary fibrosis. We performed a 15-year follow-up on the lung bone conditions of patients. evaluated recovery damage in an observational cohort study patients using CT scans, hip joint MRI examinations, function tests questionnaires. Eighty medical staff contracted 2003. Two died SARS, 78 were enrolled this August 2003 to March 2018. Seventy-one completed follow-up. percentage lesions scans...
Rationale: Up to date, the exploration of clinical features in severe COVID-19 patients were mostly from same center Wuhan, China. The data other centers is limited. This study aims explore feasible parameters which could be used practice predict prognosis hospitalized with coronavirus disease-19 (COVID-19). Methods: In this case-control study, newly established isolation on admission between 27 January 2020 19 March divided discharge group and death event group. Clinical information was...
Background The chest CT manifestations of COVID-19 from hospitalization to convalescence after 1 year are unknown. Purpose To assess up symptom onset. Materials and Methods Patients were enrolled if they admitted the hospital because underwent during at two isolation centers between January 27, 2020, March 31, 2020. In a prospective study, three serial scans obtained approximately 3, 7, 12 months onset longitudinally analyzed. total score pulmonary lobe involvement, ranging 0 25, was...
Abstract Radiotherapy (RT) is an extensively used strategy for cancer treatment, but its therapeutic effect usually limited by the abnormal tumor microenvironment (TME) and it lacks ability to control metastases. In this work, a nanoscale coordination polymer, Hf‐nIm@PEG (HNP), prepared of hafnium ions (Hf 4+ ) with 2‐nitroimidazole (2‐nIm), then modified lipid bilayers containing poly(ethylene glycol) (PEG). Under low‐dose X‐ray irradiation, on one hand, Hf high computed tomography signal...
A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia were discharged from hospitals in Wuhan, China. We aimed to determine the cumulative percentage complete radiological resolution at each time point, explore relevant affecting factors, and describe chest CT findings different points after hospital discharge.Patients COVID-19 confirmed by RT-PCR who consecutively between 5 February 2020 10 March underwent serial scans on schedule enrolled. The characteristics all...
Abstract Pulmonary fibrosis, a sequela of lung injury resulting from severe infection such as acute respiratory syndrome‐like coronavirus (SARS‐CoV‐2) infection, is kind life‐threatening disease with limited therapeutic options. Herein, inhalable liposomes encapsulating metformin, first‐line antidiabetic drug that has been reported to effectively reverse pulmonary fibrosis by modulating multiple metabolic pathways, and nintedanib, well‐known antifibrotic widely used in the clinic, are...
Abstract Synthetic biology is propelling medicine into a new era through its capacity to genetically program living cells. One of the particular interests engineering bacteria as live and targeted therapeutic delivery system. Herein, bacterial biohybrid ( E. coli ‐pE@PCN) developed by Escherichia BL21 overexpress catalase ‐pE) electrostatically adsorbing nano‐sonosensitizers (PCN NPs) for enhanced sonodynamic therapy (SDT). Leveraging ability colonize penetrate deep in tumors, engineered can...
Rationale: To retrospectively analyze serial chest CT and clinical features in patients with coronavirus disease 2019 (COVID-19) for the assessment of temporal changes to investigate how differ survivors nonsurvivors. Methods: The consecutive records 93 confirmed COVID-19 who were admitted Wuhan Union Hospital from January 10, 2020, February 22, reviewed. A series findings data collected analyzed. scans scored on a semiquantitative basis according extent pulmonary abnormalities. Chest scores...
Abstract Background: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] III–IV) from low-grade (ISUP I–II) clear cell renal carcinoma (ccRCC). Methods: For this retrospective study, 3-phase contrast-enhanced CT were collected 227 patients pathologically confirmed ISUP-grade ccRCC (155 cases in the group and 72 high-grade group). First, we delineated...
This study aimed to compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19). Between 12 January 2020 20 February 2020, records of 124 consecutive patients diagnosed COVID-19 were retrospectively reviewed divided into survivor (83/124) non-survivor (41/124) groups. Chest CT qualitatively compared on admission serial scans semi-quantitively evaluated two groups using curve estimations. On admission, significantly more...
Significance The recently emerged SARS-CoV-2 variants are more transmissible, which brings new challenges to vaccine treatment. There is an urgent global need for alternative strategies that could effectively and rapidly prevent the infection of various variants. Herein, we design human angiotensin-converting enzyme II (hACE2)–containing nanocatchers (NCs) derived from genetically engineered cells stably expressing hACE2 as competitor with host virus binding protect infection. An inhalable...
Abstract This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for serial chest CT scans of COVID-19. 95 patients confirmed COVID-19 total 465 were involved, including 61 moderate (moderate group, 319 scans) 34 severe (severe 146 scans). Conventional performed all two goals: (1) Correlation between these estimations; (2) Exploring dynamic patterns using estimations groups. The Spearman’s...
A tin oxide multi-tube array with a parallel effect was fabricated, which exhibited high sensitivity to H<sub>2</sub>S gas at room temperature.
Cancer vaccines with the ability to elicit tumor-specific immune responses have attracted significant interest in cancer immunotherapy. A key challenge for effective is spatiotemporal codelivery of antigens and adjuvants. Herein, we synthesized a copolymer library containing nine poly(ethylene glycol) methyl ether methacrylate-
The rapid advancements of deep learning technology have revolutionized medical imaging diagnosis. However, training these models is often challenged by label imbalance and the scarcity certain diseases. Most fail to recognize multiple coexisting diseases, which are common in real-world clinical scenarios. Moreover, most radiological rely solely on image data, contrasts with radiologists' comprehensive approach, incorporating both images other information such as history laboratory results....
Background: Apatinib is a powerful inhibitor of vascular endothelial growth factor receptor-2. This study was aimed to investigate whether apatinib could improve the efficacy transarterial chemoembolization (TACE) in patients with advanced hepatocellular carcinoma (HCC). Methods: Between June 2015 and September 2018, 357 HCC at Barcelona Clinic Liver Cancer stage C who received treatment TACE combining (TACE-apatinib) or TACE-alone were included. Propensity score matching (PSM) analysis used...
Background Immunotherapy, adjuvant chemotherapy, and prognosis of colorectal cancer are associated with MSI. Biopsy pathology cannot fully reflect the MSI status heterogeneity rectal cancer. Purpose To develop a radiomic-based model to preoperatively predict in on MRI. Assessment The patients were divided into two cohorts (training testing) at 7:3 ratio. Radiomics features, including intensity, texture, shape, extracted from segmented volumes interest based T2-weighted ADC imaging....