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gliomas Clinical Trials

A listing of gliomas medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.

Found 325 clinical trials
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 of age 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 of age All Phase N/A

Tessa Jowell BRAIN MATRIX - Platform Study

The main aim of the Tessa Jowell BRAIN MATRIX - Platform Study is to more precisely determine the exact type of tumour patients have by developing the essential infrastructure to provide rapid and accurate molecular diagnosis. A large network of clinical hubs across the United Kingdom, with expertise in managing …

16 years of age 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 of age All 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 of age All Phase N/A

Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis

Glioma are type of primary brain tumors arising within the substance of brain. Different type of gliomas are seen which are classified depending upon pathological examination and advanced molecular techniques, which help to determine the aggressiveness of the tumor and outcomes. Artificial intelligence uses advanced analytical process aided by computer …

1 years of age All Phase N/A
C Chao Wang, MD

AI-assisted Diagnosis of Malignant Brain Tumors

This study aims to establish a large-scale, multi-center MRI database for malignant brain tumors. It will develop an artificial intelligence system for the segmentation and classification of multiple subtypes of brain tumors (including glioma, metastatic tumor and lymphoma et al.) using deep learning technology. This will address the issues of …

18 - 100 years of age All Phase N/A
C Courtney Blank

International Diffuse Intrinsic Pontine Glioma (DIPG)/Diffuse Midline Glioma (DMG) Registry and Repository

Doctors and other medical scientists want learn about the biology of DIPG/DMG and to develop better ways to diagnose and treat patients with DIPG/DMG. To do this, they need more information about the characteristics of DIPG/DMG tumors. Therefore, they want to establish a central location for clinical information and tumor …

years of age All Phase N/A

Observational Study for Assessing Treatment and Outcome of Patients With Primary Brain Tumours Using cIMPACT-NOW and 2021 WHO Classification

Every new classification depends on its prognostic power and on the type of treatment given. With the rapid evolution of diagnostic methods and the advance in new treatments, there is much less reliable information available on how patients with newly defined brain tumour entities should be treated and what to …

18 years of age All Phase N/A

Molecular Testing for the MD Anderson Cancer Center Personalized Cancer Therapy Program

This study performs standardized testing of tumor tissue samples to learn which genes are mutated (have changed) in order to provide personalized cancer therapy options to cancer patients at MD Anderson. This may help doctors use testing information on tumors to identify clinical trials that may be most relevant to …

years of age All Phase N/A

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