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 14,282 clinical trials
The Associations of Psychological Stress With Therapy Efficacy and Prognosis of Lung Cancer (STRESS-LUNG)
This is the prospective, observational cohort study (STRESS-LUNG) to explore the associations of psychological stress with progression, efficacy of immune checkpoint inhibitors (ICIs) and prognosis of Lung Cancer. The participants including the patients diagnosed with advanced non-small-cell lung cancer (NSCLC) who received the first-line therapy or neoadjuvant therapy of ICIs; …
Study of Collection and Analysis of Clinical, Anamnestic, Functional, Biological Data Through the Support of Artificial Intelligence to Evaluate the Possibility of Defining a Digital Twin of the Lung (LUCE)
This research study aims to retrospectively and prospectively analyze the clinical, anamnestic, functional, biological data of patients who have performed or will perform non-contrast chest photon count CT. The use of contrast medium is evaluated by the physician. Main objective The study aims to understand how many people who undergo …
ExoLuminate Study for Early Detection of Pancreatic Cancer
ExoLuminate is a nationally-enrolling registry study designed for earlier detection of cancer in patients at elevated risk or clinically-suspicious for pancreatic ductal adenocarcinoma (PDAC). Those with elevated risk for PDAC can include individuals with intraductal papillary mucinous neoplasms, family history of pancreatic cancer, germline mutations in genes known to be …
Italian Network MDS Registry
Epidemiological data collection of adult patients affected by myelodysplastic syndrome (MDS) newly diagnosed.
Molecular Basis of Pediatric Liver Cancer
The purpose of this retrospective and prospective project is to understand the molecular and genetic basis of liver cancer of childhood. Understanding the molecular and genetic bases of liver cancers can offer a better classification based on tumor biology, mechanisms and predisposition.
A Biospecimen Collection Study of Leukapheresis-Derived Circulating Tumor Cells, Immune Cells, and Progenitor Cells.
Primary Objective: This is a study to investigate the feasibility of harvesting, expanding, and selecting T lymphocytes from cancer patients and healthy volunteers. The preliminary objective of this study is aimed at selecting PD-1+ and CTLA4+ T cells and other cellular fractions from peripheral blood of cancer patients and healthy …
Diagnostic Value of Exome/ Genome Sequencing, Conventional Methods in Rare Diseases and Familial Tumor Syndromes
For the retrospective data analysis, patients with genetic diseases of any age and, if available, other family members, for whom genetic analyzes were carried out between 10/2016 and 12/2020, should be included. This equates to approximately 13,000 records, minus combined analyzes in the same patient, an estimated 12,000 individuals.
Clinical Trial of YH32367 in Patients With HER2 Positive Locally Advanced or Metastatic Solid Tumor
This first-in-human study will be counducted to evaluate the safety, tolerability, pharmacokinetics (PK) and anti-tumor activity of YH32367 in Patients with HER2-Positive Locally Advanced or Metastatic Solid Tumors.
Interest of Individual Biomarkers From the Identification of Tumor Genotype by High-throughput Molecular Techniques
Lymphomas are the most common haemopathic malignancy. The 3 most common types are diffuse large B-cell lymphoma (DLBCL), Hodgkin's lymphoma (HL) and follicular lymphoma (FL). In these three subtypes, the treatment strategy is most often curative. The therapeutic strategy is guided by PET (positron emission tomography), which optimises the risk-benefit …
Construction of a Benchmark for Breast Ultrasound AI Interpretation and Performance Evaluation of Multimodal AI Models
This single-center, retrospective, observational study aims to construct a standardized benchmark evaluation system for intelligent breast ultrasound image interpretation and to systematically assess the diagnostic performance of current mainstream multimodal artificial intelligence (AI) models. De-identified B-mode breast ultrasound images with confirmed pathological diagnoses will be retrospectively collected from the institutional …
