Lung Disease Clinical Trials
A listing of Lung Disease medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 3,215 clinical trials
GEMINI-NSCLC: NSCLC Biomarker Study
Non-interventional study that will be collecting clinical and molecular health information from patients with NSCLC who will receive longitudinal blood collection in addition to their standard of care therapy and disease surveillance.
A Prospective, Multicenter, Non-interventional, Real-world Study to Characterize Changes in Molecular Markers After Three Weeks of Targeted Therapy With Oxitinib in EGFRm NSCLC
To evaluate the characteristics of genetic variationmutations at baseline and 3 weeks after oxitinib treatment in EGFRm NSCLC
EMPATHY NSCLC: European Registry for Plasma-Based Molecular Profiling in Advanced NSCLC Patients
The goal of this registry is to capture real-world data from plasma- and tissue-based molecular profiling, treatments, outcomes and patient-reported outcomes from patients with advanced or metastatic non-small cell lung cancer (NSCLC). The main objective of the study is to better understand the real-world clinical practice of the use and …
DREAM Study: DNA/RNA-NGS Co-Testing in Driver-Negative, Treatment-Resistant NSCLC
The study is divided into two parts, Part A and Part B. The purpose of Part A is to reveal the proportion of NSCLC patients who are primarily resistant to first-line non-targeted therapy due to the omission of driver genes (especially fusion variations) by DNA-NGS, the median PFS of patients …
Real-world Clinical Outcomes of NSCLC Patients Receiving Neoadjuvant Immunotherapy
The goal of this observational study is to evaluate the efficacy and long-term clinical outcomes of different neoadjuvant immunotherapies in non-small cell lung cancer (NSCLC) patients using the real-world data. The main questions it aims to answer are: What the best setting for immune checkpoint inhibitors as the neoadjuvant treatment? …
A Study to Describe the Diagnostic and Therapeutic Path of Patients with NSCLC in Early Stage and Locally Advanced
This is a non-interventional, retrospective observational study to improve knowledge regarding the diagnosis and treatments of patients who have/had non-small cell lung cancer (NSCLC), either early stage (stage I-II).
Neoadjuvant Treatment Real-world Clinical Outcomes in NSCLC
Despite the clinical success of immune checkpoint blockade (ICB), in neoadjuvant setting, there is still a lack of valid data for operable NSCLC in the real world. This study aim to compare the clinical outcomes (pathologic response rate versus survival) of neoadjuvant immunochemotherapy with neoadjuvant chemotherapy in the real world, …
Analyzing and Solving Exceptional Long-term Survivors in Solid Tumors With Poor Prognosis
This is a retrospective, exploratory, multi-center, translational, 3 cohorts case control matched study conducted in patients harboring a solid tumor with poor prognosis who presented a long-term (case) and standard (standard) survival. Patients with: Cohort A: metastatic pancreatic ductal adenocarcinoma Cohort B: glioblastoma IDHwt Cohort C: extensive small cell lung …
Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology …
Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology …
