A5091060183- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Immunotherapy and Immune Responses
- Cancer Immunotherapy and Biomarkers
- Endometrial and Cervical Cancer Treatments
- Lung Cancer Diagnosis and Treatment
- Immune Cell Function and Interaction
- Nanoplatforms for cancer theranostics
- Lung Cancer Research Studies
- CAR-T cell therapy research
- Artificial Intelligence in Healthcare
- COVID-19 Clinical Research Studies
- Intraperitoneal and Appendiceal Malignancies
- AI in cancer detection
- Cancer Cells and Metastasis
- Ovarian cancer diagnosis and treatment
- Liver Disease Diagnosis and Treatment
- Brain Metastases and Treatment
- Artificial Intelligence in Healthcare and Education
- Cardiovascular Function and Risk Factors
- Hepatocellular Carcinoma Treatment and Prognosis
- Immune cells in cancer
- Neuroendocrine Tumor Research Advances
- Cardiovascular Disease and Adiposity
- 3D Printing in Biomedical Research
Xijing Hospital
2021-2025
Air Force Medical University
2021-2025
University of Macau
2019-2023
First Hospital of Shanxi Medical University
2023
Shanxi Medical University
2023
City University of Macau
2022
Xi'an Medical University
2022
Weatherford College
2021
Hain Celestial (Canada)
2021
Zhejiang Hospital
2021
The traditional anti-inflammation disease-modifying anti-rheumatic drugs (DMARDs) have limited therapeutic effects in rheumatoid arthritis (RA) patients. We previously reported the safety and efficacy of umbilical cord mesenchymal stem cell (UC-MSC) treatment RA patients that were observed for up to 8 months after UC-MSC infusion. aim this study is assess long-term along with DMARDs RA.64 aged 18-64 years recruited study. During treatment, treated 40 mL suspension product (2 × 107 cells/20...
While the RT-PCR is silver bullet test for confirming COVID-19 infection, it limited by lack of reagents, time-consuming, and need specialized labs. As an alternative, most prior studies have focused on Chest CT images X-Ray using deep learning algorithms. However, these two approaches cannot always be used patients' screening due to radiation doses, high costs, low number available devices. Hence, there a less expensive faster diagnostic model identify positive negative cases COVID-19....
Severity prediction of COVID-19 remains one the major clinical challenges for ongoing pandemic. Here, we have recruited a 144 patient cohort, resulting in data matrix containing 3,065 readings 124 types measurements over 52 days. A machine learning model was established to predict disease progression based on cohort consisting training, validation, and internal test sets. panel eleven routine factors constructed classifier severity prediction, achieving accuracy 98% discovery set. Validation...
Radiotherapy is a non-invasive method that widely applied to treat and alleviate cancers. However, radiation-induced effects in the immune system are associated with several side via an increase oxidative stress inflammatory response. Therefore, it imperative develop effective clinical radiological protection strategies for of normal organs these patients. To explore more radioprotective agents minimal toxicity, mitochondria-targeted nitronyl nitroxide radical triphenylphosphine ion...
Normal tissue and immune organ protection are critical parts of the tumor radiation therapy process. Radiation-induced damage (RIOD) causes several side reactions by increasing oxidative stress inflammatory responses, resulting in unsatisfactory curability therapy. The aim this study was to develop a novel efficient anti irradiation nanoparticle explore its mechanism protecting splenic from mice. Nanoparticles triphenylphosphine cation NIT radicals (NPs-TPP-NIT) were prepared used protect...
Head and neck malignant tumors have numerous locations of the disease. After patients receive radiotherapy, their nutritional status is very poor, thus curative effect unsatisfactory. The aims present study were to investigate analyze with head cancer undergoing radiotherapy (RT) in order provide positive nutrition intervention for assisting effect. A total 40 selected using a method subjective global assessment (SGA) assess status, including calorie intake energy expenditure. In randomized,...
Background: On December 8, 2019, the first new coronavirus case was discovered in Wuhan, China, and an intensive outbreak incepted next month (about January 20). Virologicalists epidemiologists predict that it will reach a peak about 90 days fade away till end 4 months (Early April), entire epidemic terminate early May. The daily rise confirmed cases increase number of communities on map always hit nerves panic. 31, 2020, World Health Organization (WHO) declared China 's "public health...
This study is to identify the optimum prognosis index for brain metastases by machine learning. Seven hundred cancer patients with were enrolled and divided into 446 training 254 testing cohorts. features seven prediction methods selected evaluate performance of each patient. We used mutual information rough set particle swarm optimization (MIRSPSO) predict patient’s highest accuracy at area under curve (AUC) = 0.978 ± 0.06. The improvement MIRSPSO in terms AUC was 1.72%, 1.29%, 1.83% higher...
The feasibility of personalized medicine for cancer treatment is largely hampered by costly, labor-intensive and time-consuming models drug discovery. Herein, establishing new pre-clinical to tackle these issues urgently demanded. Methods: We established a three-dimensional tumor slice culture (3D-TSC) platform incorporating label-free techniques time-course experiments predict anti-cancer efficacy validated the 3D-TSC model multiphoton fluorescence microscopy, RNA sequence analysis,...
Cervus and cucumis peptides (Lugua polypeptides, LG) are traditional Chinese medicine, which active components of polypeptide extracted from Sika deer bone melon seed, they contain induced biological factors. Umbilical cord mesenchymal stem cell, (UC-MSC) have tissue repair multiple effects, anti-inflammatory, immune regulation function, become a very promising start in rheumatoid arthritis (RA) treatment. Hence, LG combined UC-MSC can significantly enhance the treatment (RA).To explore...
Esophageal cancer is a serious malignancy with regards to mortality and prognosis. Current treatment options include multimodality therapy mainstays of current including surgery, radiation, chemotherapy. Cell for esophageal an advancing area research. We report case following cord blood-derived cytokine-induced killer cell infusion adjuvant radiotherapy. Initially, she presented poor spirit, full liquid diets, upper abdominal pain. Through plus radiotherapy, the patient remitted was...
To improve the efficacy of traditional chemotherapy and radiotherapy reduce their serious side effects, further efforts need to be exerted identify better cancer therapeutic options that are effective, affordable, acceptable patients. In this study, a novel theranostic agent was produced perform synergetic immunotherapy phototherapy. The agent, named natural killer (NK) cells carrying indocyanine green loaded liposomes synthesized NK with ICG nanoparticles serve as for newly-established...
In recent years, the incidence of cancer has been increasing worldwide. Conventional treatments include surgery, chemotherapy, and radiation, which mostly kill tumor cells at expense normal immune cells. Although immunotherapy is an accurate, rapid, efficient treatment, it causes serious adverse reactions, such as cytokine release syndrome (CRS) neurotoxicity. Therefore, there urgent need to develop effective nontoxic procedure for immunotherapy. The clinical combination phototherapy...
Abstract This study is to establish the nomogram model and provide clinical therapy decision-making for extensive-stage small-cell lung cancer (ES-SCLC) patients with different metastatic sites using Surveillance, Epidemiology, End Results (SEER) Program. A total of 10,025 ES-SCLC metastasis from January 2010 December 2016 were enrolled SEER database. All samples randomly divided into a derivation cohort validation cohort, was 6 groups by sites: bone, liver, lung, brain, multiple organs,...
ABSTRACT Severity prediction of COVID-19 remains one the major clinical challenges for ongoing pandemic. Here, we have recruited a 144 patient cohort consisting training, validation, and internal test sets, longitudinally recorded 124 routine laboratory parameters, built machine learning model to predict disease progression based on measurements from first 12 days since onset when no became severe. A panel 11 factors, including oxygenation index, basophil counts, aspartate aminotransferase,...