Based on 2500 lung cancer tumor tissue samples from about 40 clinical centers in China, the molecular typing of lung cancer in China will be figured out by high throughput sequencing, which will provide the basis for the follow-up research and development of new drugs as well as the guidance …
GEMMA is a multicenter longitudinal observational study that follows children who are genetically at-risk of developing autism for their first three years of life, seeking to identify potential biomarkers predictive of autism development in the blood, stool, urine and saliva. The biomarkers identified in this project will contribute to a …
Chagas disease is caused by parasite Trypanosoma Cruzi. In Argentina, there is an estimated of 1.600.000 infected people. Due to migration phenomenon, most cases live in urban areas without vectorial transmission. Pharmacological treatment is given to prevent development of cardiac and gastrointestinal sequelae. There are two available drugs for this …
The purpose of this study is using a deep learning method to analyze the automated breast ultrasound (ABUS) imagings, establish and evaluate a diagnosis, therapy assessment and prognosis prediction model of breast cancer. The model would provide important references for further early prevention, early diagnosis and personalized treatment.
Familial hypercholesterolaemia (FH) is a common genetic disorder resulting in marked elevations in low-density lipoprotein cholesterol (LDL-C). If untreated, lifelong exposure to elevated LDL-C results in a substantially increased risk of (premature) cardiovascular disease as compared to the general population. Although FH adverse cardiovascular outcomes are potentially preventable through early …
Centralized biological collection of multicentric origin, retrospective and prospective of biological samples (tissues and fluids) taken within the framework of the diagnostic and therapeutic management of children and adolescents with liver tumor, and supported in the centers of French Society for Childhood Cancers (SFCE) with associated clinical database.
To develop practical and effective clinical diagnosis and treatment schemes for the control of novel coronavirus pneumonia.
This study collects data on microbiological, genetic and environmental factors, as well as lung function parameters (e.g. spirometry, body plethysmography, lung-MRI) to assess the complex interaction of predisposing risk factors for impaired lung development and respiratory diseases.
While advancements in cardiac magnetic resonance (CMR) have improved image quality, it is unclear how these improvements are connected to the clinical evaluation of individuals with cardiovascular disease. The aim of this large prospective registry revolves around 4 key principles: 1) utilize CMR to gain additional pathophysiologic insights into cardiovascular …
Patients with left bundle branch block have an increased risk for the development of heart-failure and death. However, risk factors for unfavorable outcomes are still poorly defined. This study aims to identify echocardiographic parameters and ECG characteristics by machine learning in order to develop individual risk assessment
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