There are about 36818 clinical studies being (or have been) conducted in China. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
This study aims to assess the effectiveness and safety of lenvatinib plus Chinese Herbal Medicine (CHM) for patients with uHCC in China.
This study will develop an assay to predict disease recurrence in patients with stage II/III CRC after receiving adjuvant chemotherapy, using genome-wide DNA methylation.
This study explores the effectiveness of combining electroacupuncture with olanzapine-containing four-drug antiemetic therapy to mitigate chemotherapy-induced nausea and vomiting (CINV) in patients with breast cancer. The research aims to assess the adjunctive benefits of electroacupuncture in enhancing the antiemetic effects of conventional medication, particularly in the context of highly emetogenic chemotherapy regimens. By investigating the synergistic potential of these modalities, the study seeks to provide insights into optimizing supportive care strategies for patients with breast cancer undergoing intensive chemotherapy treatment.
The research objective is to evaluate the safety and tolerability of the recombinant Group B meningococcal vaccine (E. coli) and explore its preliminary immunogenicity.
The research objective is to evaluate lot-to-lot consistency and immune persistence of three commercial batches of 23 valent pneumococcal polysaccharide vaccine.
The purpose of this study is to evaluate the immunogenicity and safety of Group ACYW135 Meningococcal Polysaccharide Conjugate Vaccine in healthy volunteers aged from 3 months to 5 years old.
The purpose of this study is to evaluate the immunogenicity and safety of Group A and C Meningococcal Polysaccharide Conjugate Vaccine in healthy volunteers aged from 3 to 5 months old.
Based on the risk factors affecting adolescent scoliosis found in the previous social survey, this project adopts the paradigm based on transfer learning and semi-supervised learning, and uses mathematical methods such as multiple learning methods and Transformer image classification algorithms to develop and verify the early warning model and stepped treatment model of adolescent scoliosis, and conducts cost-effect analysis.
Eligibility criteria for cancer drug trials are generally too stringent, leading to key issues such as low enrolment rates and lack of population diversity. In order to evaluate the REC of NSCLC drug trials, this study will use deep learning methods to construct a structured real-world database of NSCLC across dimensions, and quantitatively assess the independent contribution of changes in each eligibility criterion to patient numbers, clinical efficacy and safety.
Observe long-term safety risk and long-term efficacy after intravenous infusion of BHC001 in TDT subjects.