adenocarcinoma Clinical Trials
A listing of adenocarcinoma medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 1,419 clinical trials
Early Detection of Advanced Adenomas and Colorectal Cancer
This study aims to develop a highly sensitive, specific, and cost-effective blood assay for early detection of colorectal adenomas and cancer, using advanced machine learning and state-of-the-art biological analyses.
Minimal Residual Disease Assessment in Patients With Colorectal Cancer, the MiRDA-C Study
This study investigates if circulating tumor DNA (ctDNA) and other tumor-related molecules/chemicals released in the blood can help doctors predict if colorectal cancer may come back or spread. Tumors shed DNA and other cancer related chemicals into the blood that can be identified and studied further to provide information about …
The European NAFLD Registry
The European NAFLD Registry is a prospectively recruited, observational study supporting the study of the clinical phenotype, natural history, disease outcomes and pathophysiology of Non-Alcoholic Fatty Liver Disease and Non-Alcoholic Steatohepatitis. The ultimate goals are to better understand the drivers of interpatient variation in disease pathophysiology and severity and to …
Quantifying Systemic Immunosuppression to Personalize Cancer Therapy
The Serpentine (Stratify cancER PatiENTs by ImmuNosupprEssion) project, represents the most consistent effort so far attempted to translate MDSC into clinical practise by producing an off-the-shelf compliant assay for quantifying these cells in peripheral blood.
Collecting Blood Samples From Patients With and Without Cancer to Evaluate Tests for Early Cancer Detection
This study collects blood and tissue samples from patients with cancer and without cancer to evaluate tests for early cancer detection. Collecting and storing samples of blood and tissue from patients with and without cancer to study in the laboratory may help researchers develop tests for the early detection of …
INSPIRE: a Multi-Cancer Early Detection Study
This research constitutes a multi-centric, case-control designed investigation aimed at developing and implementing a blinded validation of a machine learning-powered, multi-cancer early detection model. This is to be achieved through the prospective collection of blood specimens from newly diagnosed cancer patients and individuals devoid of a confirmed cancer diagnosis
Plasma Metabolic Biomarkers for Multi-Cancer Diagnosis
The aim of this observational study is to comprehensively analyze the metabolites in plasma samples from multi-cancer patients using advanced mass spectrometry detection technology, in conjunction with metabolomics approaches. The goal is to construct a plasma metabolite database for multi-cancer patients. Simultaneously, we will delve into the exploration and validation …
Familial Investigations of Childhood Cancer Predisposition
NOTE: This is a research study and is not meant to be a substitute for clinical genetic testing. Families may never receive results from the study or may receive results many years from the time they enroll. If you are interested in clinical testing please consider seeing a local genetic …
SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry
International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, …
PRIMER: Development of Daily Online Magnetic Resonance Imaging for Magnetic Resonance Image Guided Radiotherapy
In radiotherapy high-tech scans with x-rays (CT scans) are taken before and during treatment to locate the tumour and ensure the radiation is hitting the target. These x-rays expose patients to additional radiation and the quality of these scans is often poor which makes it difficult to distinguish tumour from …
