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 research integrates artificial intelligence to enhance early pregnancy ultrasonography quality control, focusing on specific fetal sections. In collaboration with prominent medical institutions, the investigators have amassed extensive fetal ultrasound data. The investigators aim to develop a deep learning model that can accurately identify essential anatomical areas in ultrasound images and evaluate their quality. This tool is expected to significantly decrease misdiagnoses of conditions like Down Syndrome and neural system deformities by ensuring real-time image quality assessment.
Cord blood, as an important alternative source of hematopoietic stem cells, can be used to reconstruct bone marrow hematopoietic and immune function, and is an effective means to treat children with blood diseases. However, at present, the collection rate of cord blood is not high in our country, only the mother have the right to decide whether or not. At the same time, domestic studies on cord blood collection are still very limited, for the lack of effective programs and policies, which can not provide help to improve the collection level of cord blood. Therefore, in order to improve the rate of umbilical cord blood collection, it is particularly necessary to build tools to help pregnant women decide whether to retain cord blood. This topic will investigate and analyze the cognition and retention intention of pregnant women for umbilical cord blood collection. At the same time, the related process of pregnant women for umbilical cord blood retention will be deeply explored. Based on the results of quantitative and qualitative investigation, Internet technology will be used to build a network platform for pregnant women for umbilical cord blood storage decision AIDS, and the effectiveness of this tool will be evaluated. To provide theoretical basis for clinical medical workers and umbilical cord blood bank staff to establish the decision plan of cord blood storage.
This study is an open-label, phase I study to evaluate the safety, tolerability, pharmacokinetics (PK), and preliminary efficacy of IBR854 cell injection in patients with unresectable, locally advanced, or metastatic solid tumors.
This study is a phase Ia study of single drug BR101 for Advanced solid tumor. The main purpose of this study is to Evaluate the safety and tolerability of BR101monotherapy (single dose and multiple doses) in Subjects with Advanced Solid Tumors and determine the MTD if possible, and determine the RP2D. The secondary purpose of this study is to explore the Pharmacokinetics, Immunogenicity, Antitumor Activity of BR101 monotherapy (single dose and multiple doses) in Subjects with Advanced Solid Tumors
This study is conducted to evaluate the efficacy of avatrombopag for thrombocytopenia in patients with hepatocellular carcinoma (HCC) who intend to undergo transarterial chemoembolization (TACE) and/or hepatic arterial infusion chemotherapy (HAIC).
Breast cancer is a malignant tumor with the highest morbidity and mortality among women worldwide. Accurate staging of axillary lymph nodes is critical for metastatic assessment and decisions regarding treatment modalities in breast cancer patient. Among patients who underwent sentinel lymph node biopsy, about 70 % of the patients had negative pathological results and in other words, these 70 % of the patients received unnecessary surgery. At present, imaging and pathological diagnosis is the main measure of lymph node metastasis in breast cancer. However, limitations remained. Artificial intelligence, including deep learning and machine learning algorithms, has emerged as a possible technique, which can make a more accuracy prediction through machine-based collection, learning and processing of previous information, especially in radiology and pathology-based diagnosis. With the intensification of the concept of precision medicine and the development of non-invasive technology, the investigators intend to use the artificial intelligence technology to develop a serum and tissue-based predictive model for sentinel lymph node metastasis diagnosis combined with imaging and pathological information, providing specific, efficient and non-invasive biological indicators for the monitoring and early intervention of lymph node metastasis in patient with breast cancer. Therefore, the investigators retrospectively include serum samples from early breast cancer patients undergoing sentinel lymph node biopsy, including a discovery cohort and a modeling cohort. Metabolites were detected and screened in the discovery cohort and then as the target metabolites for targeted detection in the modeling cohort. Combined with preoperative imaging and pathological information, a prediction model of breast cancer sentinel lymph node metastasis based on serum metabolites would be established. Subsequently, multi-center breast cancer patients will prospectively be included to verify the accuracy and stability of the model.
The investigators selected patients diagnosed with sepsis who were admitted to the Intensive Care Unit (ICU) of Huai'an First People's Hospital between June 2022 and December 2023, as well as healthy individuals with normal kidney function during the same period, for the research. The investigators collected blood samples from patients with septic shock or sepsis at 6 hours, 12 hours, 24 hours, 48 hours, 3 days, 5 days, and 7 days after diagnosis， and also collected blood samples from the healthy individuals. The blood samples were stored in gel separation vacuum tubes containing heparin as an anticoagulant. The supernatant was removed and stored at -80°C, and the levels of plasma ELA (enzyme-linked immunosorbent assay) were measured using a standardized ELA kit. Additionally, serum NGAL (neutrophil gelatinase-associated lipocalin) and creatinine levels were measured simultaneously. The subjects were divided into three groups based on the KDIGO diagnostic criteria: sepsis-associated acute kidney injury (S-AKI) group, sepsis non-AKI group, and normal control group. Finally, the data were analyzed to determine the early diagnostic value of ELA for S-AKI. Approximately 70 specimens were collected in total.
HS-20093 is a fully humanized IgG1 antibody-drug conjugate (ADC) which specifically binds to B7-H3, a target wildly expressed on solid tumor cells. The objectives of this study are to investigate the anti-tumor activity, safety and pharmacokinetics of HS-20093 in Chinese patients with metastasis Castration Resistant Prostate Cancer. This is a phase 2, open-label, multi-center study to evaluate the efficacy, safety, tolerability and pharmacokinetic (PK) of HS-20093 as a monotherapy in subjects with metastasis castration resistant prostate cancers (mCRPC) and other solid tumors.
This is a single arm, multi-center clinical trial. Target population is advanced or metastatic non-squamous Non-Small Cell Lung Cancer (NSCLC) Patients with Programmed Cell Death Ligand 1 (PD-L1) negative, aiming to evaluate the efficacy and safety of the combination therapy of Cadonilimab and chemotherapy. Cadonilimab is a PD-1/CTLA-4 bi-specific antibody.
The goal of this clinical trial is to evaluate the immediate analgesic effect and patients' evaluation of the treatment of cheek acupuncture in patients with acute gouty arthritis. The main question it aims to answer are: Does cheek acupuncture has immediate pain relief effects on patients with acute gouty arthritis. Participants will received cheek acupuncture for 30 mins. If there is a comparison group: Researchers will compare etoricoxib group to see if cheek acupuncture is superior to etoricoxib for improvement of acute pain in subjects with acute gouty arthritis.