melanoma Clinical Trials
A listing of melanoma medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 463 clinical trials
Well-Being and Health-Related Quality of Life in Melanoma Patients During COVID-19 Pandemic
The primary purpose of this study is to gain an understanding of how experiences during the COVID-19 pandemic, regardless of COVID-19 status, may have impacted multiple domains of health-related quality of life and other areas such as COVID-19 specific psychological distress, and disruptions to health care, finances and social interactions. …
Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30). The main goals it aims to achieve are: development of an algorithm based on dermatoscopic images, targeting …
Predictive Clinical Features for Response to Adjuvant Immunotherapy in Stage II,III and IV Resected Melanoma
Surgical excision is the treatment of choice for stage II, III and resectable stage IV melanoma and is curative in most cases. Given the recent success of immunotherapy for the treatment of patients with advanced metastatic melanoma, the use of immunotherapy has been evaluated in the adjuvant setting for patients …
Profiling of Circulating Immune Cells to Uncover Response Signatures to Anti-PD1 Immunotherapy in Melanoma Patients
Despite being standard of care, there are still many medical requirements related to immune checkpoint blocker based therapies such as identify patients susceptible to respond with the less adverse events, evaluate the clinical benefit of adjuvant treatment /risk of relapse and design new strategies for non-responder patients. Thus, this project …
Generation of an Artificial Intelligence Algorithm Based on the Analysis of Melanoma Peri-scar Dermatoheliosis, as a Predictive Factor of Response to Anti-PD-1
In the last decade, the advent of immunotherapies with inhibitors of immune checkpoints, such as anti-PD-1 and anti-CTLA-4, has revolutionized the treatment of advanced or metastatic melanoma. However, the clinical benefit remains limited to a subset of patients. Identifying the patients most likely to benefit from these novel therapies (and …
Storage and Research Use of Human Bio-specimens From Melanoma Patients and Clinical Testing for Assignment of Treatment
The purpose of this research is to identify biological characteristics occurring in the initiation and progression of melanoma.
ARTIficial Intelligence-based Smartphone Application for Skin Cancer Detection
The aim of this project is to assess whether a specific smartphone application (Skinvision App®) can be used as a tool to preselect skin lesions suspicious for skin cancer that require urgent medical advice.
Implementation of Teledermoscopy and Artificial Intelligence
The study has 2 parts. Part 1 will investigate the effects of introducing teledermoscopy in clinical practice, more specifically the change in referral patterns, the risk of undetected skin cancers and the effect on diagnostic accuracy in general practitioners. Part 2 will investigate how to introduce artificial intelligence (AI) within …
National Cancer Institute "Cancer Moonshot Biobank"
This trial collects multiple tissue and blood samples, along with medical information, from cancer patients. The "Cancer Moonshot Biobank" is a longitudinal study. This means it collects and stores samples and information over time, throughout the course of a patient's cancer treatment. By looking at samples and information collected from …
A Prospective Study of Plasma Genotyping as a Noninvasive Biomarker for Genotype-directed Cancer Care
Tumor genotyping has become an essential biomarker for the care of advanced lung cancer and melanoma, and is currently used to identify patients for treatment with targeted kinase inhibitors like erlotinib and vemurafenib. However, tumor genotyping can be slow and cumbersome, and is limited by availability of tumor biopsy tissue …
