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Biejing, China Clinical Trials

A listing of Biejing, China clinical trials actively recruiting patients volunteers.

Found 2,216 clinical trials
J Junjie Wang, M.D.

Safety and Efficacy of SBRT in the Treatment of Thoracic Malignant Tumors at Different Sites

SBRT (stereotactic radiotherapy) can provide a higher dose to the target area without increasing the risk of surrounding normal tissue / organ injury in selective cases. At present, SBRT has been widely used in radiotherapy of lung cancer and it can also play a better local control for lung metastasis. …

18 - 80 years of age All Phase N/A
T Tao Jiang

Genetic and Molecular Risk Profiles of Pediatric Malignant Brain Tumors in China

Primary malignant central nervous system (CNS) tumors are the second most common childhood malignancies. Amongst, medulloblastomas are the most common malignant brain tumor of childhood and occur primarily in the cerebellum. According to molecular characteristics, medulloblastomas were classified into four subtypes: WNT, SHH, Group3 and Group4 and different prognosis were …

- 18 years of age All Phase N/A
C Chen Ling, PhD

MRI Study of Blood-brain Barrier Function in CADASIL

Diffusion prepared pseudo-continuous ASL (DP-pCASL) is a newly proposed MRI method to noninvasively measure the function of blood-brain barrier (BBB). The investigators aim to investigate whether the water exchange rate across the BBB, estimated with DP-pCASL, is changed in patients with CADASIL, and to analyze the association between BBB water …

20 - 70 years of age All Phase N/A
X Xueting Han

the Correlation Between Ovarian Function and Serum Biomarkers

The goal of this observational study is to find differences in serum biomarkers between ovarian function and normal individuals.

18 - 45 years of age Female Phase N/A
Z Zhenyu Liu, M.D.

Efficacy and Safety of Comprehensive Treatment in Patients With IR-CAD: a Self-controlled Cohort Study

This is a self-controlled cohort study to evaluate the efficacy and safety of comprehensive treatment in patients with inflammation-associated rapidly-progressive coronary artery disease (IR-CAD) by comparing the study endpoints before treatment with those after treatment in the same group of patients.

18 years of age All Phase N/A
Y Yan Liu

Risk Factors and Multiomics Study of Chronic Kidney Disease Caused by Metabolic Diseases

With the development of China's economy, people's living standard have improved, and the dietary structure have changed. Metabolic diseases, such as hypertension, diabetes, hyperuricemia and obesity have gradually become an important health burden in China. The pathophysiological mechanism of renal injury caused by metabolic diseases has always been a hotspot …

18 - 80 years of age All Phase N/A

Clinical Cohort Study in Patients With Different Subtypes of Primary Sjogren Syndrome Related Dry Eye

Primary Sjögren's syndrome is a chronic autoimmune disease that primarily involves exocrine glands, most commonly manifested in dry eye, dry mouth, and in other systems of the body.

18 - 80 years of age All Phase N/A
D Di Dong

Quality Control of Ultrasound Images During Early Pregnancy Via AI

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 …

20 years of age Female Phase N/A
J Jinhao Lyu, MD

The Evolution and Prognosis of Moyamoya Disease

To investigate the evolution of imaging appearances and cognitive function of Moyamoya disease (MMD) and to establish a prognosis evaluation system based on imaging biomarkers in MMD. The study may be helpful to optimize and improve the diagnosis and pretreatment assessment of MMD, and provide an important theoretical supplement to …

10 - 60 years of age All Phase N/A

AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy

This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients. By utilizing the patients' CT imaging data, biopsy pathology images, and clinical information, the intelligent model will predict the post-neoadjuvant chemotherapy efficacy and prognosis, offering assistance in personalized treatment decisions …

18 years of age All Phase N/A

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