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Tokyo and Other Japanese City, Japan Clinical Trials

A listing of Tokyo and Other Japanese City, Japan clinical trials actively recruiting patients volunteers.

Found 64,778 clinical trials
J Jen Wilcox, BA

Cardiovascular and Metabolic Sciences Biorepository

The purpose of the Cardiovascular and Metabolic Sciences Biorepository is to collect and store information and biospecimens (blood, urine, stool, and heart tissue) from patients with and without cardiovascular and metabolic diseases to create a readily available biorepository of samples and related medical health information to expedite future research into …

18 years of age All Phase N/A
Y Yunzhi Pan

Psychiatric Multi-omics and Neuroimaging Project

This study focuses on the structure and function of the brain and gene expression in peripheral blood of patients with schizophrenia, to explore the interaction and influence between the three. Patients with mental disorders who have been recruited will take their medication regularly for 1 year and participate in baseline …

13 - 35 years of age All Phase N/A
M Mervyn Andiapen

Left Ventricular Thrombus Registry

Left Ventricular Thrombus (LVT) is a blood clot that can develop in a poorly functioning heart. In around 1 in 6 patients who have had a heart attack or diagnosed with heart failure tend to develop blood clots in their main heart chamber. Having a blot clot in the main …

18 years of age All Phase N/A
L Liu

Evaluation of COVID-19 and Flu A/B 3 in 1 Combo Rapid Test

This observational study aims to evaluate the diagnostic performance of an investigational Influenza A/B and COVID-19 test in patients presenting with signs and symptoms of respiratory infection. The main questions it aims to answer are: What is the sensitivity and specificity of the investigational test compared with an FDA-cleared reference …

2 years of age All Phase N/A
S Shen Yi Jue, M.D.

AI-powered Early Detection for Pancreatic Cancer Via Non-contrast CT in Opportunistic Screening Cohort

Pancreatic ductal adenocarcinoma (PDAC) remains a therapeutic challenge with 5-year survival rates of 13%, primarily attributable to advanced-stage diagnosis (AJCC Stage III/IV in >80% of cases). This prospective, observational, multi-center study will evaluate the performance of an AI-powered opportunistic screening system utilizing non-contrast computed tomography (NCCT) acquired during routine clinical …

18 years of age All Phase N/A

Registry to Collect Information on Pregnancy, Neonatal, and Infant Outcomes in Pregnant Women Exposed to QUVIVIQ®

This study will investigate pregnancy, neonatal, and infant outcomes in women exposed to QUVIVIQ during pregnancy compared to women unexposed to QUVIVIQ during pregnancy.

15 - 50 years of age Female Phase N/A
W Weiyi Lai

Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology

This study intends to collect ophthalmologic examination results, pulmonary examination results and related indexes from patients with pulmonary disease and control populations, and combine big data analysis and artificial intelligence technology to explore whether new methods can be provided for early screening strategies for pulmonary disease with the aid of …

years of age All Phase N/A

A Study of the Safety of Vonoprazan Exposure in Pregnant Women and Their Offspring

The main objective of the study is to compare the maternal, fetal, and infant outcomes of pregnant women who are exposed to vonoprazan during pregnancy with outcomes of an internal comparison cohort of pregnant women who are unexposed to vonoprazan during pregnancy but who may be exposed to other products …

15 - 50 years of age Female Phase N/A
J Jan Gödeke, MD, MBA

The Asensus Paediatric Robotic Registry

An open-label, observational, paediatric registry trial in which participating centers enroll subjects who had or will have a laparoscopically-assisted surgery using the Senhance Surgical System.

- 17 years of age All Phase N/A
X XIANGJIA ZHU, M.D.

Artificial Intelligence for Highly Myopic Cataract

This study aims to establish a multi-center artificial intelligence model for the accurate calculation of intraocular lens and its clinical application in highly myopic cataract, so as to improve the accuracy of the prediction of postoperative diopter in highly myopic cataract patients.

years of age All Phase N/A

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