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 will evaluate the utility of ChatGPT in recommending treatment plans for patients with gastrointestinal cancers, using both retrospective and prospective data.
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.
The goal of this [type of study: observational study] is to [detect concomitant KF and ALL injury in knees with ACL injury using MRI in both adult and pediatric patients and compare the effect of KF injury and multiple risk factors (concomitant injury to the ALL, medial collateral ligament [MCL], or anterior, central, or posterior part of the medial or lateral meniscus) on anterolateral rotatory laxity as measured by the pivot-shift test in a clinical setting.]. The main question [s] it aims to answer are: [Does the main risk factor for a high-grade pivot shift after acute ACL injury differ between pediatric patients and adults?] [Does Concomitant KF injury significantly affect the pivot-shift phenomenon in pediatric patients with acute ACL injury?] Researchers will compare [71 pediatric patients and 469 adults] to see if [main risk factor for a high-grade pivot shift after acute ACL injury differs between pediatric patients and adults?].
The observational study is to compare vitamin D deficiency and related indicators among different spontaneous abortions in describe female reproductive health.The main question aim to answer is: the possible pathogenesis of recurrent spontaneous abortion caused by vitamin D. Participants, who visit the RSA specialty clinic, will provide medical history information, regularly exam based on the condition, following up on pregnancy status.Participants will be asked to supply vitamin D preparation and do moderate exercise outdoors, comparing the effect after treatment.
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 clinical study was a first-in-human, phase 1B, single-center, single-arm, open-label, dose escalation and expansion trial that aimed to determine the safety, tolerability and efficacy of BEBT-109 in patients with locally advanced or metastatic NSCLC harboring EGFR exon20ins mutations who had received at least one line of previous treatment.
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.