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
Machine Learning Approaches to Personalized Therapy for Advanced Non-small Cell Lung Cancer With Real-World Data
This research will leverage machine learning (ML) and causal inference techniques applied to real-world data (RWD) to generate evidence that personalizes treatment strategies for patients with advanced non-small cell lung cancer (aNSCLC). Rather than influencing regulatory decisions or clinical guidelines, the goal of this trial is to refine treatment selection …
Capsule Endoscopy Delivery at sCale Through Enhanced AI anaLysis Study
The CESCAIL study tests the use of Artificial Intelligence (AI) on a video taken from a minimally-invasive imaging device, to improve efficiency and accuracy of the detection of polyps, which are little outgrowths within the lining of the bowel.
NYSCF Scientific Discovery Biobank
The New York Stem Cell Foundation (NYSCF) Research Institute is performing this research to accelerate diverse disease research using cells from the body (such as skin or blood cells) to make stem cells and other types of cells, conduct research on the samples, perform genetic testing, and store the samples …
An Observational Real-world Study to Evaluate the Impact of Dermatological Toxicities on the Quality of Life in Patients With Early Breast Cancer Treated With Adjuvant Endocrine Therapy - BCARE (Breast Cancer Adjuvant Real-world Evaluation of Dermatological Adverse Events)
The goal of this European observational study (Frane, Spain, italy, Spain and Greece) is to describe the quality of life related to dermatological toxicities, in adult women patients with Early Breast Cancer (EBC), treated with an ongoing adjuvant endocrine monotherapy initiated for 2 to 3 years ago before inclusion in …
The GAstric Precancerous Conditions Study
Gastric cancer afflicts 27,000 Americans annually and carries a dismal prognosis. One reason for poor outcomes is late diagnosis, as the majority of gastric cancers in the United States are diagnosed at a relatively advanced stage where curative resection is unlikely. Gastric intestinal metaplasia (GIM) is a precancerous change of …
UCF MammoChat: Image Repository
This study aims to develop AI models to better read diagnostic mammograms for various populations and types of breast cancer, using the images that participants donate and their responses from study questionnaire to improve patient outcomes. This study also aims to provide mammography images to participants.
Predictive Models for Radiation-induced Side Effects in Head and Neck Cancer Based on Single Nucleotide Polymorphisms (SNP)
Background of the study: Swallowing dysfunction and xerostomia are the most frequently reported radiation-induced side effects (RISE) after (chemo) radiation ((CH) RT) in head and neck cancer (HNC) patients and have a major impact on the general dimensions of quality of life (QoL). In radiation0oncology, normal tissue complication probability (NTCP) …
Discovering Novel Cancer Treatment Options Using a Comprehensive NGS-based Molecular Testing Panel in the Community Setting ("DINOSAur")
To prospectively identify cancer patients whose tumors express specific molecular markers targeted by therapeutic agents from a comprehensive molecular test, for the purpose of selecting the most clinically appropriate treatment in a pragmatic two arm trial.
The Impact of Socioeconomic Determinants on the Patient Reported Outcomes in Young Breast Cancer Patients After Breast Surgery
Breast-conserving surgery is the standard treatment for young breast cancer patients, while mastectomy with breast reconstruction is an alternative for those who are not eligible for Breast-conserving surgery. Several studies have compared the quality of life and patient satisfaction among individuals receiving different types of surgery (Breast-conserving surgery, mastectomy alone, …
Development of an Imaging Prediction Model for Pelvic Lymph Node Metastasis of Cervical Cancer Using Artificial Intelligence Techniques.
This study is a retrospective exploratory trial conducted at a single center, aiming to develop and validate a preoperative lymphatic metastasis model for cervical cancer using artificial intelligence deep learning. The model is trained using preoperative imaging and postoperative pathological findings of cervical cancer patients, with the goal of enhancing …
