All Participating Sites, Germany Clinical Trials
A listing of All Participating Sites, Germany clinical trials actively recruiting patients volunteers.
Found 65,447 clinical trials
Antibiotic Abuse Patterns in Gharbia, Egypt
Antimicrobial resistance (AMR) represents a serious problem described by the World Health Organization (WHO) as "a global public health concern". Research from around the globe indicates high rates of practices related to injudicious use of antibiotics as leftover antibiotics, antibiotic non-adherence, the pressure made by patients who request antibiotics from …
Retinal Microvascularization in OCT-angiography and Systemic Diseases
Systemic diseases are inflammatory, chronic illnesses affecting different organs and altering their function. At present, there are few non-invasive methods for predicting their onset and progression. Some chronic diseases can be anticipated earlier thanks to predictive indicators. These indicators could help doctors decide which treatment is best suited to each …
Beacon Tip Sizing Catheter and Slip-Cath Beacon Tip Catheter Study
This prospective observational post-market clinical study will collect data in the United States to primarily support the re-launch of the re-designed Beacon Tip Sizing Catheter and Slip-Catheter Beacon Tip Catheter & Shuttle Select Slip-Catheter (Visceral and Cerbral) for a Conformité Européenne (CE) Mark application in the European Union (EU). Additionally, …
Prospective Non-Interventional Study Comparing Osimertinib +/- Chemotherapy for EGFR-Mutated NSCLC Patients
The goal of the study is to collect data on patients treated outside of a clinical trial (in routine clinical practice) with standard of care osimertinib with or without chemotherapy in Epidermal Growth Factor Receptor (EGFR)-mutant Non-Small Cell Lung Cancer (NSCLC) to better understand the safety and effectiveness of these …
Early Detection of HCV in Injection Drug Users
The project is a national, prospective, multicenter, non-interventional pilot project of screening HCV in PWID in the Czech Republic. The main goal of the project is to methodically prepare, implement and evaluate a pilot project that will verify the suitability of the proposed procedure of early detection of Hepatitis C …
Clinical Study on the Accuracy of Real-time AI-assisted Endocytoscopy in the Diagnosis of Colorectal Diminutive Polyps
Colorectal cancer (CRC) is the third most common malignant tumor in the world and the second largest cause of cancer-related death [1]. Colonoscopy is considered the preferred method of screening for colorectal cancer, and early and resectable detection of colorectal neoplastic lesions can significantly reduce colorectal cancer morbidity and mortality. …
Dosimetric Reference Levels for Radioguided Interventional Procedures in Rhythmology.
Interventional radiology has become a widespread technique used in various fields of medicine to diagnose or treat numerous pathologies. However, the risk of X-rays must be taken into account. In 2019, the French Authority on Nuclear Safety published diagnostic reference levels for radio-guided interventional practices for 10 interventional radiology procedures …
Application of a Novel Biomarker Based on Plasma cfDNA Assay in the Early Diagnosis of Prostate Cancer
The goal of this diagnostic test is to obtain multiple cell-free DNA （cfDNA） fragment profiles of subjects by whole genome sequencing based on plasma cfDNA, build a prostate cancer prediction model by machine learning, and to validate the efficacy of this model in patients who need to undergo needle prostate …
AAA-CTA Cohort Registry
The aim of this study is to investigate the measurement of abdominal aortic aneurysm by computed tomography angiography. The research will collected the results of computed tomography angiography from inpatient, emergency, and outpatient populations with abdominal aortic aneurysm.
MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions
The research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in emergency department (ED) patients with chest pain or dyspnea with the ultimate goal of Improved diagnostic accuracy, faster patient management, and reduced …
