Minatoga, Japan Clinical Trials
A listing of Minatoga, Japan clinical trials actively recruiting patients volunteers.
Found 64,920 clinical trials
Sensitivity of Repetitive Nerve Stimulation Performed in the Evening vs in the Morning in Myasthenia Gravis
Myasthenia gravis (MG) is the autoimmune disorder affecting the neuromuscular junction, characterized by fatigue, which increases gradually through the day. The repetitive nerve stimulation (RNS) remains the key diagnostic test in MG, however its sensitivity, especially in ocular form of MG is not satisfactory. In this study, investigators want to …
A Neurocognitive Study in Patients With Brain Oligometastases Receiving Hypofractionated SRT
Background For newly-diagnosed patients with brain metastasis, conventional whole-brain radiation therapy (WBRT) might still remain a common palliative management even for those with brain oligometastases. However, WBRT-related late consequences, particularly a decline in neurocognitive functions (NCFs), are a major concern. Actually, WBRT-related neurocognitive dysfunction is usually characterized as deterioration involving …
Impact of Preterm Birth on Symptoms of Anxiety and Depression in Parents, and on the Precursors of Cognition, Including Social Cognition in Their Child
In 2018, the World Health Organization (WHO) counted no less than 15 million preterm births each year worldwide, or more than one in ten children. In recent years, the number of newborns surviving preterm birth has gradually increased due to advances in neonatal medicine. However, these rescues are not without …
Physio-Anatomy Clinical Data Collection Study
This is an on-label clinical study design intended for the collection of three different types of interventional procedural data using FDA-cleared cardiac catheterization technologies and drugs, each used according to its product labeling and standard practice of medicine.
Biomarkers in Friedreich's Ataxia
The purpose of this project is to characterize measures of cardiac performance and neuromuscular physiology in FA patients using novel techniques, including echocardiography and magnetic resonance imaging (MRI), metabolic exercise testing, and neurophysiological outcomes.
Deep Liver Phenotyping and Immunology Study
Hepatocellular carcinoma (HCC) and cholangiocarcinoma are the two most common causes of primary liver cancer and HCC is the second highest cause of cancer death worldwide. It is known that most of these cancers occur in patients who already have a liver condition. Despite close monitoring of many patients who …
Brain Insulin Resistance in Mild Cognitive Impairment
Alzheimer´s disease (AD) is the most common cause of dementia. The most important risk factor for AD is old age; modifiable risk factors for AD include metabolic risk factors, i.e. diabetes, and obesity. Insulin resistance seems to be associated with AD pathology and cognitive decline. Previous studies suggest that AD …
Novel Applications for Sarcoma Assessment
This research aims to improve the way of deciding whether a lump in soft tissue such as fat or muscle is a type of cancer called a soft tissue sarcoma, or if it is benign (non-cancerous). To do this the investigators will use routine clinical MRI scans, additional quantitative MRI …
Clinical Database of Safe Personalized Adjuvant Breast Radiotherapy Based on Individual Radiosensitivity
Severe but also moderate toxicities after curative-intent radiotherapy (RT), such as a poor cosmetic outcome following breast cancer can have a negative impact on quality of life and a marked effect on subsequent psychological outcome. Nevertheless, current practice standards commonly prescribe radiation dose and volume without regard to individual radiosensitivity. …
Establishment and Application of an Artificial Intelligence Algorithm for Automatic Identification of Intraoperative Bleeding During Laparoscopic Pancreaticoduodenectomy
Surgeons will label surgical videos of laparoscopic pancreaticoduodenectomy with bleeding information from multicenter. The labeled surgical video will be used as training material to train the algorithmic model so as to build an artificial intelligence algorithm that can automatically identify intraoperative bleeding in this surgery. Then, we will test the …
