There are about 36633 clinical studies being (or have been) conducted in France. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
The diagnosis of Parkinson's disease (PD) relies mainly on clinical observation of the patient, looking for the three characteristic symptoms and sometimes remains a real challenge. Machine Learning (ML) algorithms could help to diagnose PD early and differentiate idiopathic PD from atypical Parkinsonian syndromes. In this context, the work of Castillo-Barnes' team provided a set of imaging features based on morphological characteristics extracted from DaTSCAN® or Ioflupane (iodine-123-labeled radiopharmaceutical) single-photon emission computed tomography (SPECT) scans to discern healthy participants from participants with Parkinson's disease in a balanced set of SPECTs from the "Parkinson's Progression Markers Initiative" (PPMI) data base. The team of a study evaluated the classification performance of Parkinson's patients and normal controls when semi-quantitative indicators and shape features obtained on the dopamine transporter (DAT) by Ioflupane (123I-IP) single-photon emission computed tomography (SPECT) are combined as a machine learning (ML) feature. Artificial Intelligence (AI) based methods can improve diagnostic assessments. Several dopaminergic imaging studies using Artificial have reported accuracy of up to 90% for the diagnosis of PD. These automated approaches use machine learning methods, based on textural analyses, to (i) differentiate PD and healthy subjects, (ii) differentiate PD and vascular parkinsonism, and (iii) distinguish between different forms of atypical parkinsonism. A study conducted in 2 centers using a linear support vector machine (SVM) model discriminated patients with PD and healthy subjects with an accuracy of 82.5%.This performance is similar to visual assessment by nuclear physicians A linear SVM model based on voxel values of statistical parametric images was able to differentiate PD from vascular parkinsonism with an accuracy of 90.4%. The Nancy team has extensive experience in the detection of PD in SPECT and SPECT/CT scans with Ioflupane or DaTSCAN™
Retrospective study, single blind (patient), allowing a posteriori clinical data collection of 90 patients during their passage to the ambulatory endoscopy circuit, to consider 3 groups and thus to deduce a colonic adenoma detection rate for each arm : - Colonoscopy Only Group - Artificial intelligence only group (IA GI GENIUS ™ alone) - Endoscopic Cap and Artificial Intelligence Group (endoscopy cap associated with the GI GENIUS ™ IA System)
Recently, the french societies for critical care (SFAR and SRLF) produced guidelines for anemia treatment in critically ill patients that recommend the use of erythropoietin (EPO) in these patients, but the european society (ESICM) recommended against the use of EPO in this patients, despite recent meta analysis showing a lower mortality in patients treated with EPO. Nevertheless, RCT on EPO in the ICU are quite all, new data are thus needed. Before conducting a large study on EPO in anemic patients in the ICU, we propose to cinduct a feasability RCT to evaluate the feasability of such a study.
Today, Spinal cord pathologies, whether are tumoral, vascular, traumatic, malformative, inflammatory, or degenerative still constitute a major medico-surgical challenge due to the particular anatomy of the spinal cord. Indeed, the spinal fibers (whether they have a sensory or motor function) are all condensed in an extremely small volume. To date, there is no reliable technique to know the precise position of the spinal tracts specifically involved in the sensory and motor functions of the upper and lower limbs. The purpose of this study is to evaluate the feasibility for differentiating spinal tracts by tractography from a cerebral Diffusion tensor imaging (DTI) Magnetic Resonance Imaging (MRI) sequence (associated with an anatomical sequence) by performing a stitching process with spinal cord DTI MRI sequence, in healthy subjects. The criterion of differentiation of the tracts will be assessed by highlighting already known cerebral tracts (cortico-spinal fibers, spinothalamic, posterior cord) and which will be monitored at the spinal level.
The purpose of the study is to evaluate the efficacy of olezarsen as compared to placebo on the percent change in fasting triglycerides (TG) from baseline.
The objective of this study is to support the exploration of the NEURO-COVID-19 database and in particular to carry out the post-treatments necessary to derive quantitative information on the characterization of the lesion load, in particular with regard to of the vascular tree
The goal of this clinical study is to compare the study drugs, magrolimab + venetoclax + azacitidine, versus placebo + venetoclax + azacitidine in participants with untreated acute myeloid leukemia (AML) who are not able to have chemotherapy.
Periodontal diseases are highly prevalent inflammatory diseases. These diseases are mostly due to the development and the maturation of bacterial plaque which lead to local inflammation. Individuals can develop severe attachment loss which could lead to dental loss. To prevent them, individual plaque removal procedures self-performed by the patient by tooth brushing or interdental brushes or made by professional care (scaling), are known to improve periodontal health, and thus to prevent periodontal diseases. Moreover, oral hygiene is a major factor to increase increasing the outcomes when treatments are needed. However, patients' compliance in oral health program is one of the major limits to periodontal therapeutics. In this study, the investigators evaluate the effectiveness of 3D intra-oral camera compared with conventional oral hygiene instructions, to improve oral health motivation.
The diagnostic performance of the scanner in the indication of suspected Covid-19 is not yet well known, especially in comparison with the results of RT-PCR. The potential use of the scanner as a tool for quantifying the severity of Covid-19 disease is not yet well established, especially the variations between readers or between measurement techniques. The impact of the scanner in predicting the fate of patients with confirmed Covid-19 is not yet known.
Very little is known about the impact on the newborn of late pre-partum maternal SARS-CoV-2 infection. Care without separation of the mother and her newborn with continued breastfeeding has been advocated in France and by the WHO but is being debated in some countries. Assessment of the development of newborns in their first month of life with this strategy associated with close and secure follow-up. Importance of reporting the potential benefits / risks of this treatment to guide the care of newborns in a persistent epidemic context in a particularly affected region.