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Congestive Heart Failure Clinical Trials

A listing of Congestive Heart Failure medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.

Found 329 clinical trials
A Amy Oppenheim

Predicting BCG Response

To date, there are no diagnostics capable of predicting treatment response to intravesical BCG. Because of this severe limitation, nearly 50% of patients treated with BCG fail therapy and will a) require additional intravesical therapy or b) require cystectomy. A urine-based diagnostic that possesses the potential to accurately identify patients …

18 years of age All Phase N/A
L Lei Liu

A Research Protocol for Evaluating the Efficacy of Perfused Chemotherapeutic Agents for Bladder Cancer Based on Organoid Technology

The investigators are here to invite participants to participate in a medical research project, and this informed consent form provides participants with information to decide whether or not to participate in this study. Please read the following carefully and discuss any questions and terms that are not clear with the …

18 - 80 years of age All Phase N/A
G Giuseppe Simone, Doctor

Analysis of Urinary Methylation Patterns Via Liquid Biopsy as an Early Diagnosis Tool

Multicenter, observational, prospective, biological pilot study on liquid biopsy, aimed at investigating methylation profiles in relation to the early diagnosis of bladder cancer, to validate the potential of commercially available tests (e.g. BladderCARE, Bladder EpiCheck), to apply and validate tests based on targeted multi-marker or genome wide analyzes via NGS …

18 years of age All Phase N/A
A Amy Oppenheim

A Novel Multiplex ELISA Assay for Surveilling Patients with History of Bladder Cancer

Voided urinary cytology (VUC) is the most widely used urine-based assay for detecting bladder cancer (BCa); however, it fails to detect approximately 50% of low-grade or early stage BCa when it is most curable. Furthermore, the detection rate of VUC for recurrent BCa is not much better. Because of this …

18 years of age All Phase N/A
R Riccardo Mastroianni, MD

Urinary Microbiome Differences in Bladder Cancer, Benign Urinary Diseases and Healthy Counterparts in Adult Male Population

The study aims to investigate alterations in the bladder microbiome in adult men with bladder cancer, healthy men, and men with benign urinary disease

50 - 70 years of age Male Phase N/A
C Cédric Poyet, MD

Role of Microbiome in BCG Responsiveness Prediction

Our primary aim is to investigate the use of microbial profile from the bladder and the feces of NMIBC patients as a predicting tool for therapy response prior to BCG administration. Our second aim is to collect additional samples (blood, instrumented urine, bladder tissue, feces) to establish a local biobank …

18 - 90 years of age All Phase N/A
J Jun Huang

A Multicenter Clinical Trial of Urine DNA Testing for Bladder Cancer in China

The primary objective of this study is to assess the safety and effectiveness of Human Multigene Methylation Detection Kit (Fluorescent PCR Method) for help diagnose bladder cancer by comparing with clinical standard method (includes medical imaging (MRI, CT, etc.), cystoscopy, pathological examination).

years of age All Phase N/A
A Amr Esam Darwish, MD

Early Prediction of Neoadjuvant Chemotherapy Response in Bladder Cancer Using Quantitative Multiparametric MRI

Bladder cancer is a prevalent malignancy globally, with muscle-invasive disease having a five-year survival rate below 50%. Neoadjuvant chemotherapy (NAC) before radical cystectomy has shown efficacy for resectable muscle-invasive bladder cancer (MIBC). However, non-response to NAC can lead to delayed surgery and unnecessary toxicity. Magnetic resonance imaging (MRI), particularly multiparametric …

18 years of age All Phase N/A
Z Zheng Zhang

Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study

This study aims to develop an ultrasound image-based deep learning system to enable automatic segmentation, T-staging, and pathological grading prediction of bladder tumors. It seeks to enhance the objectivity, accuracy, and efficiency of bladder cancer diagnosis, reduce reliance on physician experience, and provide support for precision medicine and resource optimization.

18 - 85 years of age All Phase N/A
O Ou, Dr.

Bladder Cancer Staging and Prediction of New Adjuvant Chemotherapy Efficacy Based on Deep Learning and Transfer Learning in Ultrasound-Magnetic Resonance-Pathology Multimodal Multiscale

Bladder cancer is the most common malignant tumor of the urinary system. The presence or absence of muscle invasion in early bladder cancer is an independent prognostic factor. The involvement of muscle invasion affects the choice of surgical methods and treatment. Preoperatively, the precise assessment of bladder cancer staging has …

years of age All Phase N/A

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