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 3,207 clinical trials
Adjuvant Befotertinib in Stage IB-IIIB Non-small Cell Lung Cancer With Positive EGFR Sensitive Mutations
This multicenter, randomized, controlled, double-blind, double-simulated, Phase III study is designed to evaluate the efficacy and safety of Befotertinib compared with Icotinib as adjuvant treatment in EGFR-sensitive mutation-positive stage IB-IIIB (T3N2M0) non-small cell lung cancer after surgical resection.
Vadadustat for the Treatment of Nonintubated Acute Respiratory Distress Syndrome Due to Pathogen-Associated Lung Injury
The objective of this study is to assess the efficacy and safety of vadadustat for treating hospitalized patients with nonintubated Acute Respiratory Distress Syndrome (ARDS) secondary to pathogen-associated lung injury.
Lebanese Interhospital Pneumococcal Surveillance Program
Streptococcus pneumoniae (pneumococcus) is a bacterium that causes severe infections in children and adults such as meningitis, pneumonia, and blood stream infection. There are many types of these bacteria defined by the type of sugar coat that they have. These are classified as serotypes. There are common serotypes that cause …
Prospective Multicentre Study for the Application of Telomere Measurement Technology as a Tool for Lung Cancer Diagnosis
This research is a clinical performance study of in vitro diagnostic device (IVD), a prospective, multicentre, open-label, case-control clinical investigation aimed at constructing a predictive model that allows results to be classified as positive or negative in relation to the probability of having lung cancer.
A Mobile Patient Health Technology Intervention for Improving Lung Cancer Screening Rates in Eligible High Risk Patients
To evaluate the real-world effectiveness and implementation strategies for mPATH-Lung, investigators propose a pragmatic, randomized controlled trial across an academic Learning Health System. The trial will contrast several approaches to participant outreach and will specifically target engaging fully powered cohorts of racial/ethnic minorities and rural residents.
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 …
Quantitative Evaluation of the Impact of Relaxing Eligibility Criteria for Lung Cancer Based on Real-world Data
Eligibility criteria for cancer drug trials are generally too stringent, leading to key issues such as low enrolment rates and lack of population diversity. In order to evaluate the REC of NSCLC drug trials, this study will use deep learning methods to construct a structured real-world database of NSCLC across …
PRophylactic Cerebral Irradiation or Active MAgnetic Resonance Imaging Surveillance in Small-cell Lung Cancer Patients (PRIMALung Study)
In this phase III study, the primary objective is to test with a one-sided significance of 5% whether for the treatment of small cell lung cancer (SCLC) patients, brain MRI surveillance alone is non-inferior in terms of overall survival compared to prophylactic cranial irradiation (PCI) combined with brain MRI surveillance …
Safety, Efficacy, and Pharmacokinetics of BNT327 in Combination With Chemotherapy and Other Investigational Agents for Lung Cancer
This is a Phase 2/3, multisite, randomized, open-label study in participants with first-line non-small cell lung cancer (NSCLC). This study includes two substudies (substudy A and substudy B) that will recruit participants according to histological subtypes due to differences in chemotherapy choice for standard-of-care and type of NSCLC.
The Impact of AI Assistance on Radiologist Performance and Healthcare Costs in LDCT-Based Lung Cancer Screening
AI diagnostic systems show great promise for improving lung cancer screening in community healthcare settings. While not originally designed for primary care, these tools demonstrate capabilities in nodule detection and workflow optimization. However, their effectiveness in resource-limited community centers requires thorough evaluation. This RCT compares AI-assisted versus manual CT interpretation …
