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Found 2,831 clinical trials

F Fumin Jia

Satisfaction Survey on PINS Stimulator System for Patients With Parkinson's Disease

This study will be done because the investigators would like to evaluate product satisfaction of two PINS products (product A, product B) that are to evaluate the effectiveness of rechargeable and non-rechargeable Deep Brain Stimulation (at baseline visit and at follow-up visit) and by evaluating their responses to the product …

18-80 years All Phase N/A
Z Zhenyu Zhang, Dr.

MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence

This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) of patients with primary gliomas. By leveraging artificial intelligence, this registry …

1-90 years All Phase N/A
B Bruno Vellas, MD

The Inspire Bio-resource Research Platform for Healthy Aging INSPIRE Platform

Since aging is a systemic (not organ-specific) phenomenon, the main objective of Inspire Bio-resource Research Platform for Healthy Aging is to build a comprehensive research platform gathering biological, clinical (including imaging) and digital resources that will be explored to identify robust (set of) markers of aging, age-related diseases and IC …

30 years and older All Phase N/A
M Meike Kasten, Prof. Dr.

LIPAD - LRRK2 International Parkinson's Disease Study

The study aims to identify and systematically characterize Parkinson's patients with mutations in the LRRK2 gene. In about 90% of Parkinson's patients the cause of the disease is unclear. Based on current knowledge, it can be assumed that there are several causes and that the causes may be differ between …

18 years and older All Phase N/A
G Gan Guifen, Bachelor

Diagnostic Criteria of ARDS at High Altitudes in Western China

The severity of ARDS in high altitude areas was classified according to the Berlin standard high altitude area Oxygenation.

18 years and older All Phase N/A
Z Zhenyu Zhang, Dr.

Prediction of Therapeutic Response of Apatinib in Recurrent Gliomas

Apatinib, also known as YN968D1, is a small-molecule tyrosine kinase inhibitor (TKI) that selectively binds to and inhibits vascular endothelial growth factor receptor 2 (VEGFR-2). This study aims to collect clinical, radiological and histopathology imaging including detailed radiological data, survival data, clinical parameters, molecular pathology and images of HE slices …

18-90 years All Phase N/A
Z Zhenyu Zhang, Dr.

Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence

This registry aims to collect clinical, molecular and histopathology imaging including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and images of HE slices in primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine hstopathology imaging based …

1-90 years All Phase N/A
R Roy Lauterbach, MD

The Success of Labor Induction Based on a Modified BISHOP Score.

Pregnant women at term will be divided randomly into 3 groups: Gynecological evaluation based on classic BISHOP score. Gynecological evaluation based on a modified BISHOP score. Gynecological evaluation based on cervical length as measured by transvaginal sonography. After gynecological evaluation, women will undergo induction of labor based on obstetric evaluation …

18-45 years Female Phase N/A
Z Zhenyu Zhang, Dr.

Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence

This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and images of HE slices in primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine histopathology image based algorithms that …

1-95 years All Phase N/A
Z Zhenyu Zhang, Dr.

MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence

This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) of patients with primary gliomas. By leveraging artificial intelligence, this registry will seek …

1-95 years All Phase N/A

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