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
Patients With Interstitial Lung Disease
Prospective monocentric collection of data from adult patients with interstitial lung disease (ILD), to provide real-world data on current patient management at the ILD clinic.
Screening Program for Type 1 Diabetes in a High-Risk Population
Type 1 diabetes mellitus (T1D) is a growing public health concern in Saudi Arabia, ranking ninth globally in T1D incidence and tenth in T1D prevalence in children, and the rates are expected to rise and incur greater healthcare costs. Genetic and immunological factors are believed to play a significant role …
Post Pandemic Pneumococcal Carriage Among Children and Adults
The PI propose to conduct a genomic epidemiology study of pneumococcal carriage among children and adults in a large metropolitan city. These data will allow PI to assess the post-pandemic population structure, investigate the phylogenetic relationship between isolates from children and adults, and compare pneumococcal populations across diverse geographic areas.
High Quality Evidence of Guangzhou Lupus Nephritis Cohort (HOPE Cohort)
The goal of this observational study is to learn about the long-term renal and patient's survival of lupus nephritis (LN) patients in China. The main question it aims to answer is: Does the renal and patient's survival improved in the long term period? Participants who had renal biopsy proven lupus …
Study of the NATURal History, Epidemiological, Clinical, Diagnostic and Therapeutic Aspects of CELiac Disease and Non-celiac Enteropathies
Celiac disease is a chronic immune-mediated enteropathy triggered by gluten intake, which affects the small intestine in genetically susceptible subjects (HLA-DQ2 and/or HLA-DQ8). Affecting both children and adults, it is among the most common genetically determined disorders in Western countries. The disease is characterized by clinical manifestations (mainly digestive symptoms …
PROMISE PET Registry on PSMA-PET and Outcome in Prostate Cancer
Background PROMISE criteria have been defined for standardized reporting of Prostate-Specific Membrane Antigen (PSMA) PET whole-body stage of prostate cancer. PSMA PET disease extent by PROMISE has been associated with oncologic outcome. Need Improved prognostication across various stages of prostate cancer is needed for management guidance and study design. Aim …
Study to Assess Change in Quality of Life of Risankizumab Treatment in Adult Participants With Moderate-to-Severe Plaque Psoriasis
Psoriasis is a chronic, systemic, inflammatory disease in which skin cells build up and develop thick, red and white scaly patches on the skin. This study will assess the change in quality of life of risankizumab treatment in adult participants with moderate to severe plaque psoriasis real-world clinical practice. Risankizumab …
An Observational Study on the Safety and Efficacy of Henagliflozin in Chinese Patients With Type 2 Diabetes
An Observational Study on the Safety and Efficacy of Henagliflozin in Chinese Patients with Type 2 Diabetes Primary Research Objective • To evaluate the safety of Henagliflozin in Chinese patients with type 2 diabetes mellitus (T2DM) in real world. Exploratory Research Objectives 1. Improvement in metabolic parameters: To assess changes …
Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors
This experiment is an observational study of cohort. By establishing a cohort of patients with head and neck tumors transferred to ICU after surgery, investigators compared the prediction effect of AI and the traditional prediction model on whether patients can be transferred to ICU within 24 hours of head and …
Intraoperative Confocal Laser Scanning Microscopy With Use of AI for Optimized Surgical Excision of Basal Cell Carcinoma
The aim is to use AI to assist surgeons in analyzing CLSM tissue slide images obtained during BCC surgeries with the aim to integrate it in real time. We plan to use AI to analyze CLSM images of BCCs and distinguish between tumor tissue, inflammatory tissue, and non-tumor/non-inflammatory tissue. This …
