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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 14,196 clinical trials
M Merav Ben-David, MD

Identification of Breast Cancer in Breath Samples Using Trained Detection Dogs

The goal of this study is to find out whether a system that uses trained detection dogs and artificial intelligence (AI) can identify breast cancer from a person's breath. Women who are scheduled to have routine breast cancer screening, such as a mammogram, ultrasound, or a biopsy for a possible …

18 years of age Female Phase N/A
C Clinical Trial Manager, B. Pharm

From Exclusion to Inclusion: Analysing Follow-up Discontinuity in Breast Cancer

The goal of this observational study is to determine the proportion of patients who are lost-to-follow-up at five years, identify factors associated with loss of follow-up , and explore patient-reported barriers to follow-up in a public sector cancer care setting. The main question it aims to answer is : Do …

18 years of age All Phase N/A
L Laura Pacheco-Spann

Integrating Molecular Pathology, Radiology, and Genetics to Improve Breast Cancer Risk

The purpose of this research is to better understand how benign breast diseases might lead to breast cancer, focusing on genetic factors and including a diverse range of participants to improve future diagnosis and treatment.

18 - 100 years of age Female Phase N/A
G Giacomo Dal Col

Precision Retrospective Integrative Study for Metastatic Lymph Nodes in Breast Cancer

Accurate assessment of axillary lymph nodes in patients with breast cancer is essential for prognosis and treatment planning. Staging and surgical management have evolved from axillary lymph node dissection to sentinel lymph node biopsy to minimize morbidity. However, sentinel lymph node biopsy has non-negligible morbidity, and more than 70% of …

18 years of age All Phase N/A
L Luca Miele, MD PhD

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, …

18 years of age 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 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

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