There are more than 498,563 clinical trials published worldwide with over 60,000 trials that are currently either recruiting or not yet recruiting. Use our filters on this page to find more information on current clinical trials or past clinical trials (free or paid) for study purposes and read about their results.
Assessing the volume of the liver before surgery, predicting the volume of liver remaining after surgery, detecting primary or secondary lesions in the liver parenchyma are common applications that require optimal detection of liver contours, and therefore liver segmentation. Several manual and laborious, semi-automatic and even automatic techniques exist. However, severe pathology deforming the contours of the liver (multi-metastatic livers...), the hepatic environment of similar density to the liver or lesions, the CT examination technique are all variables that make it difficult to detect the contours. Current techniques, even automatic ones, are limited in this type of case (not rare) and most often require readjustments that make automatisation lose its value. All these criteria of segmentation difficulties are gathered in the livers of hepatorenal polycystosis, which therefore constitute an adapted study model for the development of an automatic segmentation tool. To obtain an automatic segmentation of any lesional liver, by exceeding the criteria of difficulty considered, investigators have developed a convolutional neural network (artificial intelligence - deep learning) useful for clinical practice.
Neoadjuvant chemoradiotherapy (nCHT) followed by surgery is the mainstay treatment for locally advanced rectal cancer, leading to significant decrease in tumor size (downsizing) and a shift towards earlier disease stage in the primary tumor and lymph nodes (downstaging). Extensive histopathological work-up of the tumor specimen after surgery including tumor regression grading (TRG) and lymph node status (ypN) helped to visualize individual tumor sensitivity to CRT retrospectively. Since the response to nCHT is heterogeneous, however, valid biomarkers are needed to monitor tumor response. A relevant number of studies aimed to identify molecular markers retrieved from tumor tissue while the relevance of blood-based biomarkers is less stringent assessed. As a potential alternative to CEA and ctDNA, microRNAs (miRNAs) are currently under investigation to serve as blood-based biomarkers. miRNAs are small, noncoding RNAs that regulate gene expression by post-transcriptional mRNA binding, which promotes the destabilization of target miRNAs. The target specificity of miRNAs is largely predetermined by their so-called "seed-sequence" (containing nucleotides at position 2-7 of the miRNA). They are highly conserved between species, stable and easy detectable even in small concentrations. They have been widely analyzed in physiological and pathological processes, and their expression is tissue specific.
Avelumab + Paclitaxel/ Ramucirumab as second line treatment in gastro-esophageal adenocarcinoma following first-line therapy with platinum and fluoropyrimidine doublet with or without anthracycline, docetaxel or trastuzumab
To investigate the efficacy and safety of sub-threshold micro-pulse laser therapy for drusen of dry age-related macular degeneration (AMD) .
The aim of the present investigation will be to evaluate diaphragmatic excursion velocity during non-invasive ventilation and spontaneous breathing at both inspiration and expiration. this analysis will be performed through diaphragmatic tissue Doppler assessment.
Human motor adaptation is crucial to adapt to new environments, such as altered gravity. Dexterous manipulation and fine movements in space require learning new coordinated motor actions. Traditionally, adaptation mechanisms have been tested in laboratories with robotic devices that perturb specific task parameters unbeknownst to the participant. Over repetition, participants build a more accurate representation of the task dynamics and, eventually, improve performance. These perturbations are applied locally on the hand or limb while the dynamics of the rest of the body remains unaltered. These approaches are therefore limitative since they do not reflect ecological adaptation to globally changed dynamics, such as new gravitational environments. Parabolic flights, centrifuges and water immersion allow circumventing these limitations. Previous investigations in these contexts have highlighted the role of the global context in motor adaptation. However, it is unknown if global learning could benefit from exploiting known local dynamics. Here, we design an original task that will capture both the learning of arm movement kinematics as well as grasping forces for object manipulation in an ecologically valid design. We test whether executing this task in hypogravity with rendering of Earth gravity locally at the hand is beneficial or detrimental to task performance. By adopting the "negative picture" of conventional robotic approaches, these results will further our understanding of basic motor adaptation and provide insightful information on the optimal design and control of human-machine interfaces and wearable robots in space environments and other immersive dynamics.
This is a single center, single arm, open and exploratory clinical study, with 50 cases planned for a period of 3 years. The purpose of this study is to evaluate the consistency and accuracy of a Patient-Derived Organoid (PDO) Model of lung cancer to predict the clinical efficacy of anti-cancer drugs, in order to predict the best chemotherapy regimen for each given patient.
To evaluate the safety and efficacy of arsenic trioxide combined with cART in eliminating latent HIV-1 reservoir, providing potential strategies for AIDS functional cure.
The prognosis of pancreatic cancer is extremely poor. Current guidelines recommend FOLFIRINOX or modified-FOLFIRINOX as the first-line chemotherapeutic regimen. Studies have shown that immunotherapy with Anti-PD-1 antibody can effectively increase the response rate and prolong patient survival in a number of cancer diseases. Here investigators intend to compare the therapeutic effects of modified-FOLFIRINOX alone and the combination of modified-FOLFIRINOX and Anti-PD-1 antibody in patients with borderline resectable and locally advanced pancreatic cancer.
The purpose of this study is to evaluate the feasibility, acceptability and credibility of a mindfulness-based dance/movement therapy (M-DMT) protocol that is delivered online; to assess and improve methodological procedures for conducting a randomized controlled trial (RCT) test of M-DMT; and to demonstrate proof of principle by gathering information about the process of change between M-DMT and a control condition. This is the first study to address the potential of M-DMT as a creative, non-opioid intervention for chronic back pain. Therefore, the findings of this study will provide important methodological and protocol data and substantive pilot data necessary for the next phase of this line of research, namely a fully powered RCT to evaluate efficacy and treatment mechanisms of action. Data obtained as part of this study will be instrumental for informing the systematic evaluation of M-DMT for chronic back pain care.