neoplasms Clinical Trials
A listing of neoplasms medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 14,180 clinical trials
PROtocol of Metabolic and Cryptogenic livEr Disease regisTry for intEgration of Omic Studies
The main aim of the study is to set up an observational cohort with NAFLD (Non-alcoholic fatty liver disease) at different stage of disease (from simple steatosis to cirrhosis and/or HCC-Hepatocellular carcinoma) and for comparative purpose a cohort of subjects with diabetes and/or obesity and/or other risk factors (i.e. psoriasis, …
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 …
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 …
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 …
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 …
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 …
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 …
ScreenIng of Genetic Susceptibility Genes for Breast Cancer Patients in CHinese communiTies
This is a community-based prospective study and the research object is breast cancer patients. It is planned to take the community as the unit to inform and collect the breast cancer patients who voluntarily participate to carry out the detection of BRCA1, BRCA2, PTEN, CHEK2 and PALB2 genes through the …
Vitamin D and Head and Neck Cancer: Impact on Toxicity and Prognosis
The goal of this observational study is to learn about relation between vitamin D levels in subjects with head and neck cancer. The main question it aims to answer are: variation of vitamin D levels in the study population at different time points relation between therapy side effects and vitamin …
Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer Treatment Planning
RadioVal will develop and implement interoperable solutions for clinical deployment of the radiomics tools, including information, training, and communication packages for clinicians and patients, as well as standard operating procedures for the integration of radiomics in clinical oncology. With this study, we will clinically validate these solutions, by looking at …
