Minatoga, Japan Clinical Trials
A listing of Minatoga, Japan clinical trials actively recruiting patients volunteers.
Found 65,447 clinical trials
National Network for Cardiovascular Genomics: Advancing Cardiovascular Healthcare for Hereditary Diseases in Brazil's Unified Health System Through a Multicenter Registry
The goal of this observational study is to develop a registry of Brazilian patients with hereditary cardiovascular diseases, combining clinical and genomic data. The main questions it aims to answer are: Which genes are most commonly affected? What is the frequency of these genetic alterations in our population? Participants will …
Middle East Coronary Artery Ectasia Registry
This research project is the first in Jordan and Middle East in providing detailed registration of coronary ectasia cases provided by their primary healthcare providers. The investigators responsible for conducting this research are physicians and their teams who deal with patients with coronary ectasia in their clinics including the public …
Commercial or Open Source Closed Loop Impact on Pregnancy Study
The goal of this observational study is to better understand what happens when pregnant people with type 1 diabetes (T1D) use automated insulin delivery (AID) systems. The main questions this study aims to answer are: What are the maternal and neonatal outcomes with AID system use in pregnancy? What are …
LEOPARD Training and Validation Data Collection Study
Intro The present clinical research protocol is part of the LEOPARD European project (Grant n° 101080964 Horizon Europe) which aims to design and validate new predictive models of mortality among liver transplantation (LT) candidates. MELD based-liver graft allocation systems have become increasingly inaccurate over the last decade to predict mortality/dropout …
Child-Parent Familial Hypercholesterolemia Screening
Child-parent screening for familial hypercholesterolemia has been proposed to identify children and their parent who are carrier of mutations and with high risk for inherited premature coronary artery disease. The investigators assessed the efficacy and feasibility of such screening in primary care practice. key scientific questions: The 95th and 99th …
DISCOVERY of Risk Factors for Type 2 Diabetes in Youth
The goal of the DISCOVERY study is to provide innovative critical information regarding the unique natural history of glycemic control, insulin sensitivity, and β-cell function, and their mechanistic determinates, in obese adolescents at risk for developing type 2 diabetes.
An Observational Study of Participants With Type 3 Von Willebrand Disease on Prophylactic Standard-of-Care Treatment
This non-interventional study (NIS) is designed to collect information on the effectiveness and safety of treatment received in routine clinical care, as well as measure the health-related quality of life (HRQoL) of participants with Type 3 von Willebrand disease (VWD) receiving prophylactic therapy per local standard of care (SOC) over …
Study of the Prevalence of Endogenous Hypercortisolism in Patients With Resistant Hypertension (MOMENTUM)
This is a non-interventional study to assess the prevalence of endogenous hypercortisolism (eHC) in patients with resistant hypertension (rHTN) and will enroll approximately 1000 patients at approximately 45 sites in the United States (US). Each patient will have an initial visit for screening. After eligibility is confirmed, a limited exam …
Longitudinal Population-based Observational Study of COVID-19 in the UK Population
COVIDENCE UK is a population-based observational longitudinal study that has the following objectives: To determine risk factors for incident COVID-19 and for adverse outcomes of COVID-19 in the UK population To characterise the natural history of COVID-19 in the UK population To evaluate the impact of COVID-19 on the physical …
Deep Learning for Gummy Smile Segmentation
A gummy smile (excessive visibility of the gums when smiling) is not merely an aesthetic issue but also an important parameter in terms of periodontal health. Current evaluation methods are subjective and non-standardized, leading to limitations in both clinical accuracy and patient communication. In recent years, AI-based models have begun …
