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Found 64,783 clinical trials
J Juliet N Babirye, PhD

TREAT Child Alcohol Use Disorder (C-AUD) in Eastern Uganda

The investigators will investigate the existence of alcohol drinking among children living under adult supervision and care, living within the communities. The investigators will focus on the age group 6-13 years overlapping with the recommended age for primary school attendance. The project is approaching the research topic using quantitative and …

6 - 13 years of age All Phase N/A
M Monica Weir, MBA, CCRP

A Real World, Observational Registry of Chronic Wounds and Ulcers

More than 100 hospital based outpatient wound centers in the USA and Puerto Rico agree to transmit structured data on all patients followed with chronic wounds and ulcers (e.g. diabetic foot ulcers, venous ulcers, pressure ulcers, arterial ulcers, surgical wounds, and traumatic wounds). Data are collected at point of care …

years of age All Phase N/A

Tissue, Blood, and Body Fluid Sample Collection From Patients With Hematologic Cancer

RATIONALE: Collecting and storing samples of tissue, blood, and body fluid from patients with cancer to study in the laboratory may help the study of cancer in the future. PURPOSE: This research study is collecting and storing blood and tissue samples from patients being evaluated for hematologic cancer.

18 - 120 years of age All Phase N/A
G Goos Laverman, prof. dr.

DIABASE; Diabetes Mellitus Registry in Second Care

This study aims to examine real world data from medical devices and clinical outcome from diabetes mellitus patients to gain the necessary insights to be able to improve individual patient care by building a registry.

18 years of age All Phase N/A
O Oliver A Cornely, Prof.

ECMM Candida Registry - CandiReg

The objective of the European Confederation of Medical Mycology - ECMM Candida Registry (CandiReg) is to overcome the lack of knowledge on epidemiology, clinical course, and molecular characteristics of invasive infections due to invasive Candida infections and to function as a platform for future studies and in case of outbreaks.

years of age All Phase N/A
S Shay McGuinness

The EXCEL Registry of Patients Requiring ECMO

ECMO is associated with significant costs, risks and requires specialist training and expertise. EXCEL is a novel, high-quality, detailed prospective registry of patients requiring ECMO in Australia and New Zealand. The registry provides information on patient selection, complications, costs and patient reported outcome measures. EXCEL uses the Theoretical Domains Framework …

18 years of age All Phase N/A
M Marco Spinazzi, MD

Observatoire Des Patients Atteints de Laminopathies et Emerinopathies (Observatory for PAtients With Laminopathies and Emerinopathies)

Laminopathies and emerinopathies are complex group of rare disorders due to mutations in A-type lamins (LMNA) and Emerin (EMD) genes. Among them, disorders affecting skeletal and/or cardiac muscles are the most frequent clinical manifestations, with cardiac disease being a major cause of death. Remarkable progress has been made in the …

years of age All Phase N/A
D Dennis H Oh, MD PhD

Direct-to-patient Teledermatology and Computer-assisted Diagnosis

This study will examine access to dermatology care. The operational partner will implement a direct-to-new patient teledermatology clinical care pathway while the research will study the effects of that implementation, use data associated with deployment to develop and test an Artificial Intelligence system, and understand key stakeholders' attitudes regarding and …

18 years of age All Phase N/A

Diagnostic Accuracy of a Panel of Bacterial Gene Markers (M3) for Colorectal Advanced Neoplasia

The investigators aim to evaluate and compare the diagnostic accuracy of FIT and the novel panel of bacterial gene markers (Fn, m3, Ch and Bc) collectively named as M3, in detecting colorectal advanced neoplasia.

18 years of age All Phase N/A
Y Yi-Chia Lee

Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion

The aim of this diagnostic accuracy study is to evaluate the application of artificial intelligence on the diagnosis of Helicobacter pylori infection and premalignant gastric lesions based on upper endoscopic images. We use techniques of artificial intelligence to analyze the correlation between endoscopic images and urea breath test results/histopathological results.

20 - 80 years of age All Phase N/A

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