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Minatoga, Japan Clinical Trials

A listing of Minatoga, Japan clinical trials actively recruiting patients volunteers.

Found 64,778 clinical trials
J Joe-Elie SALEM, PU-PH

Follow-up of Patients With Inflammatory Myopathies Associated With a Biobank

Myositis are rare diseases for which the development of a cohort associated with a bank of biological samples (biobank) will allow for the conduct of researches to better delineate the underlying pathophysiology and find cures. This prospective cohort of patients with myositis will allow for identification of factors favouring the …

18 years of age All Phase N/A
M Maria Trujillo

Los Angeles Prospective GI Biliary and EUS Series

Endoscopic retrograde cholangiopancreatography and endoscopic ultrasound are increasingly being used to manage complex disease of the bile duct, pancreas and cancer. Gastroenterology patients at the Los Angeles County Hospital presents a unique and diverse patient population. Our aim is to study the biochemical, radiographic, and clinical predictors of bile duct …

years of age All Phase N/A
S Sarah Alvi

Biologics And Clinical Immunology Cohort at Sinai

The study team plans to establish a bioregistry of patients receiving biologic therapy as part of their standard treatment at the Mount Sinai Therapeutic Infusion Center and affiliated practices. The study team will to apply state-of-the-art approaches to assessing and predicting immunological and clinical responses associated with these standards and …

12 years of age All Phase N/A
J Johandra Argote Parolis, MD

Canadian SCAD Study

Natural history multicenter, prospective, observational registry with 10-year follow-up

18 years of age All Phase N/A
M Ming-Fang Ji

Screening Effect of Dual-energy CT Combined With Nasopharyngeal Endoscopy for Screening Nasopharyngeal Carcinoma

All participants will be tested for EBV-related biomarkers, including EBNA1-IgA, VCA-IgA, and BNLF2b total antibody (P85-Ab), and participants with high serologic risk will be selected based on serologic test results, and dual-energy CT will be performed first for high-risk screening subjects, and dual-energy CT will be performed first for the …

30 - 69 years of age All Phase N/A
T Tonette Gehrking

Natural History Study of Synucleinopathies

Synucleinopathies are a group of rare diseases associated with worsening neurological deficits and the abnormal accumulation of the protein α-synuclein in the nervous system. Onset is usually in late adulthood at age 50 or older. Usually, synucleinopathies present clinically with slowness of movement, coordination difficulties or mild cognitive impairment. Development …

18 years of age All Phase N/A

A Study on the Prevalence of Clinically Useful Mutations in Solid Tumor Characterized by Next Generation Sequencing Methods on Liquid Biopsy Analysis (POPCORN)

The implementation of liquid biopsy in clinical practice has been favored by the rapid development of genome sequencing techniques designed to analyze mutations in ctDNA. Among these, the Next generation sequencing (NGS) is a technique that consists in sequencing several genomes in a short time span, collecting information about a …

18 years of age All Phase N/A

China Health Big Data

In this nationwide multi center study the investigators combine the low dose chest CT scan data with QCT technology, to measure the BMD of spine, VAT and liver fat in the health check subjects. The aim of this study is to evaluate the performance of QCT in the health check …

30 - 90 years of age All Phase N/A

Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression

The VASCULAID-RETRO study, within the broader VASCULAID project, aims to create artificial intelligence (AI) algorithms that can predict cardiovascular events and the progression of abdominal aortic aneurysm (AAA) and peripheral arterial disease (PAD). The study plans to gather and analyze data from at least 5000 AAA and 6000 PAD patients, …

40 - 90 years of age All Phase N/A
C Clarigent Research

CAMPUS Expanded "Classification and Assessment of Mental Health Performance Using Semantics Expanded"

Open enrollment study to collect data for the optimization of machine learning models for use in an app for the early detection of mental health and suicidal risk.

8 - 75 years of age All Phase N/A

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