All clinical trials

The management of COVID-19 patients in overwhelmed hospital facing the pandemic is a clinical challenge. The improvement of decision making may allow a better allocation of available resources and a better treatment of patients at higher risk. Chest CT has been widely adopted for COVID-19 pneumonia diagnosis. Several experiences documented the capability of Artificial Intelligence to improve and fasten COVID-19 pneumonia detection, mainly using chest X-ray. Aim of the present study was to develop and validate an Artificial Intelligence approach integrating clinical and imaging data (automatically extracted through the adoption of dedicated neural networks) for the creation of a cloud platform capable of performing automatic patients risk stratification. Such an approach could be used for triage of COVID-19 patients in the emergency department, with the aim to improve healthcare personnel decision-making and allocation of resources during health emergencies.

Prostate cancer is one of the most frequently diagnosed cancers and one of the main causes of death due to tumors in men . The mechanisms of its carcinogenesis have not been fully elucidated yet . Prostate tumours remain undetected or dormant for a long period of time before they progress loco-regionally or at distant sites as overt tumours. The molecular mechanism of dormancy is yet poorly understood

PREDICT is a prospective, multicenter study for the early detection of pan-cancer through cell-free DNA (cfDNA) methylation-based model, in which approximately 14,000 participants will be enrolled. The development and validation of the model will be conducted in participants with cancers or benign diseases, along with non-tumor (healthy) individuals through a two-stage approach. The sensitivity and specificity of the model in cancer early detection will be evaluated, and the accuracy of the identification for tissue of origin will be obtained.

This study aims to perform biomechanical tests on extracted CLEAR lenticles that are routinely discarded after surgery. The investigators also aim to perform Brillouin microscopy to get an in-vivo assessment of the patient's cornea preoperatively and to correlate this data with the postoperative characterization of the extracted corneal lenticule. The characterization will be done with established biomechanical and morphologic tests.

According to french recommandations for IUGR management we have to propose a CGH-array analysis if the IUGR is severe (bellow the 3rd percentile) and early (in the second trimester). However there is no data to support this point of view.

Crohn's disease (CD), a type of inflammatory bowel disease (IBD), is a chronic intestinal recurrent inflammatory disease involving the entire digestive tract. Most CD patients require surgery for complications, including stenosis, perforation, and severe intestinal bleeding. Predicting early-onset surgery risk is of great importance to assist launching of therapeutic strategies. We aim to establish a digital prognostic model and nomogram using radiomics, which will help clinical practice.

Cervical cancer kills one woman every two minutes, 90% of these women are from low- and middle-income countries. Newly developed testing using biofluids has proven successful in identifying disease markers in, for example, brain cancers and endometrial cancers. Early studies have revealed that this technology is also showing potential for gynaecological cancers using validated human papillomavirus (HPV) test specimens. Urine samples, more easily collected, may make screening more accessible and acceptable to women. Spectroscopy is a portable and relatively simple technology; results are instant, reproducible and reliable. Once we confirm that spectroscopy has the ability to identify potential CIN 2+ by detecting HPV in urine, the test can be miniaturized and adapted to a point of care test. This will be more economical and logistically simpler than what is currently available; no consumables and pre-processing of samples are required. Women with abnormal cervical screening and women with normal screening as controls will be recruited, cervical and urine samples will be obtained. These will be tested for HPV DNA using standard methods and also by spectroscopy for HPV. These spectroscopy signals will be analyzed using artificial intelligence. The results will be compared to tissue samples obtained at colposcopy. This will allow evaluation of the new spectroscopy test. This preliminary study aims to prove the concept the spectroscopy as a simple, affordable screen can be used to radically change cervical cancer screening. Enabling a test that has point of care capabilities has huge implications for women in developed and more significantly in low-and middle-income countries, where cervical cytology and HPV testing have significant logistical problems. A non-invasive test will be preferred by many women. We believe spectroscopy will disrupt the status quo of 'no screening' in the low and middle income countries (LMICs), accelerate elimination of cervical cancer, and thus avert 15 million deaths in next 50 years.

The ASUS Blood Pressure App "ASUS HealthConnect" is a software-only mobile medical application. It is designed to be compatible with ASUS VivoWatch SP watches and mobile phones. Used together to create, record, store, and display blood pressure information. This application determines the systolic and diastolic blood pressure and pulse rate and provides numerical and historical graphs after calibration with the cuff-type upper arm blood pressure monitor. The above data is only captured when the user is resting.

This clinical study will investigate Jejunal Microbiota in Metabolic Diseases (Je-MiMe, n=45) and Colonic mucosa-associated Microbiota in Metabolic Diseases (Col-MiMe, n=45). Each cohort (Je and Col -MiMe) is composed of three groups: participants with obesity (n=15) with obesity and with type II diabetes (n=15). This research protocol is organized in two parts. Each part of this study will recruit 45 participants that are only recruited in one of the parts of the protocol (JE-MIME or COL-MIME). Thus, in total, the study will include 90 patients. Each part of this study is composed of 3 groups: 1) "Control Group ", 2) Obese group (Ob), 3) Obese and Type 2 Diabetes group (ObD). Control groups for part I (JE-MIME) and part 2 (COL-MIME) are composed of different participants. Each group is composed of 15 human adult volunteers for the JE-MIME study (part 1) and 15 participants for the COL-MIME study (part 2). Total number of participants is 45 for part 1, and 45 for part 2. Total number for this project is 90. Microbiota wil be collected during an endoscopy or coloscopy which is planned as routine care for the patients. Primary objectives are to characterize jejunal (JE-MIME, Part I of the study) and colonic mucosa-associated microbiota (COLMIME, Part II of the study) and compare both microbiota to faecal microbiota (evaluate differences and similarities between jejunal microbiota or mucus-associated microbiota and faecal microbiota). Secondary objectives are to 1) Correlate microbiota with metabolic health and inflammatory markers; 2) Correlate microbiota with lifestyle and neuropsychological health. Both the jejunal microbiota and mucus-associated microbiota are strong integrators of nutritional environment and intestinal health status, respectively, compared to the fecal microbiota. This study will help to better understand the physiopathology of metabolic diseases. This research could lead to finding specific microbiota members, either from the jejunal compartment or from the inner mucus layer, crucial for the promotion / protection of chronic intestinal inflammation and associated metabolic health.

This study was a retrospective study. The investigators intended to review the preoperative paraspinal muscle imaging data of patients with lumbar spinal stenosis and degenerative scoliosis treated in hospital, and follow up the symptoms, quality of life and surgical complications at 1 year and at the last follow-up. The aims were: (1) to explore the correlation between paraspinal muscle imaging parameters and clinical outcomes; (2) based on the postoperative functional scores and the presence of complications, to explore the best combination of imaging parameters for predictive value of prognosis; (3) to evaluate the consistency between different measurement methods, and improve the standardized paraspinal muscle imaging assessment; (4) Combining the characteristics of individual bone mass and paravertebral muscle (functional and imaging assessment), to explore the correlation between bone loss and paravertebral muscle degeneration; (5) to explore a muscle-bone mass assessment system that could reflect the prognosis of patients.