Capability and accuracy of usual statistical analyses in a real-world setting using a federated approach.

Methods: The objective of this project was to determine the capability of a federated analysis approach using DataSHIELD to maintain the level of results of a classical centralized analysis in a real-world setting. This research was carried out on an anonymous synthetic longitudinal real-world oncology cohort randomly splitted in three local databases, mimicking three healthcare organizations, stored in a federated data platform integrating DataSHIELD. No individual data transfer, statistics were calculated simultaneously but in parallel within each healthcare organization and only summary statistics (aggregates) were provided back to the federated data analyst.

Development of a new patient-reported outcome measure for patients with multiple sclerosis: the Multiple Sclerosis Autonomy Scale (MSAS).

Background: In multiple sclerosis (MS), the measure of the loss of autonomy appears to be particularly relevant to provide adapted and personalized responses to improve the quality of care in routine clinical practice. In this context, this research aimed to develop a new patient-reported outcome measure (PROM) evaluating MS patients' autonomy, in order to provide an easy-to-use tool in the context of the relations between healthcare professionals and patients with MS, and to be used in future clinical trials for treatment assessment.

Methods: This research was conducted in two consecutive stages.

A Comparative Study on the Lysosomal Cation Channel TMEM175 Using Automated Whole-Cell Patch-Clamp, Lysosomal Patch-Clamp, and Solid Supported Membrane-Based Electrophysiology: Functional Characterization and High-Throughput Screening Assay Development.

The lysosomal cation channel TMEM175 is a Parkinson's disease-related protein and a promising drug target. Unlike whole-cell automated patch-clamp (APC), lysosomal patch-clamp (LPC) facilitates physiological conditions, but is not yet suitable for high-throughput screening (HTS) applications. Here, we apply solid supported membrane-based electrophysiology (SSME), which enables both direct access to lysosomes and high-throughput electrophysiological recordings.

Interactive statistical monitoring to optimize review of potential clinical trial issues during study conduct.

Background: Statistical monitoring involves the review of prospective study data collected in participating sites to detect intra/inter patients and sites inconsistencies. We report methods and results of statistical monitoring in a phase IV clinical trial.

Method: PRO-MSACTIVE is a study evaluating ocrelizumab in active relapsing multiple sclerosis (RMS) patients in France.

Field oriented control dataset of a 3-phase permanent magnet synchronous motor.

This paper presents a dataset of a 3-phase Permanent Magnet Synchronous Motor (PMSM) controlled by a Field Oriented Control (FOC) scheme. The data set was generated from a simulated FOC motor control environment developed in Simulink; the model is available in the public GitHub repository. The dataset includes the motor response to various input signal shapes that are fed to the control scheme to verify the control capabilities when the motor is subjected to real life scenarios and corner conditions.

A CNN-based image detector for plant leaf diseases classification.

Identifying diseases from images of plant leaves is one of the most important research areas in precision agriculture. The aim of this paper is to propose an image detector embedding a resource constrained convolutional neural network (CNN) implemented in a low cost, low power platform, named OpenMV Cam H7 Plus, to perform a real-time classification of plant disease. The CNN network so obtained has been trained on two specific datasets for plant diseases detection, the ESCA-dataset and the PlantVillage-augmented dataset, and implemented in a low-power, low-cost Python programmable machine vision camera for real-time image acquisition and classification, equipped with a LCD display showing to the user the classification response in real-time.

Efficacy, safety and patient reported outcomes in patients with active relapsing multiple sclerosis treated with ocrelizumab: Final results from the PRO-MSACTIVE study.

Background: Ocrelizumab, a humanized anti-CD20 monoclonal antibody, has been approved in Europe for the treatment of adult patients with active relapsing multiple sclerosis (RMS) and primary progressive multiple sclerosis (PPMS), on the basis of previous phase III studies. However, limited data were available on ocrelizumab efficacy in RMS according to the Lublin definition of activity (clinical and/or imaging features) used in the current drug label. The PRO-MSACTIVE study was thus designed to provide additional data on ocrelizumab efficacy according to this definition, and also on safety and patient reported outcomes (PROs).

Evidence-Based Mechanical Ventilatory Strategies in ARDS.

Acute respiratory distress syndrome (ARDS) remains one of the leading causes of morbidity and mortality in critically ill patients despite advancements in the field. Mechanical ventilatory strategies are a vital component of ARDS management to prevent secondary lung injury and improve patient outcomes. Multiple strategies including utilization of low tidal volumes, targeting low plateau pressures to minimize barotrauma, using low FiO (fraction of inspired oxygen) to prevent injury related to oxygen free radicals, optimization of positive end expiratory pressure (PEEP) to maintain or improve lung recruitment, and utilization of prone ventilation have been shown to decrease morbidity and mortality.

FRESC: French Real world Extensive stage SCLC Cohorts: A retrospective study on patient characteristics and treatment strategy based on KBP-2010.

Objectives: FRESC reanalyzed extensive-stage small-cell lung cancer (ES-SCLC) patient data from the French KBP-2010 cohort to describe the characteristics and therapeutic management of ES-SCLC and provide real-world estimates of survival.

Methods: A target population of first line (1L) ES-SCLC was identified at initial diagnosis in KBP-2010 (KBP population, N = 796). A KBP-2010 subpopulation was defined as patients who also met the IMpower133 clinicaltrial PS ≤ 1 inclusion criteria (KBP-PS_0/1 population, N = 394).

Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays.

This paper presents a dataset for Bluetooth 5.1 direction of arrival (DoA). The dataset was generated with a specifically designed mathematical model of a non-uniform rectangular antenna array.

Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks.

This paper presents a dataset of images generated via 3D graphics rendering. The dataset is composed by pictures of the junction between the high-speed shaft and the external bracket of the power generator inside a wind turbine cabin, in presence and absence of oil leaks. Oil leak occurrence is an anomaly that can verify in a zone of interest of the junction.

The suitability of high throughput automated patch clamp for physiological applications.

Although automated patch clamp (APC) devices have been around for many years and have become an integral part of many aspects of drug discovery, high throughput instruments with gigaohm seal data quality are relatively new. Experiments where a large number of compounds are screened against ion channels are ideally suited to high throughput APC, particularly when the amount of compound available is low. Here we evaluate different APC approaches using a variety of ion channels and screening settings.

A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning.

Esca is one of the most common disease that can severely damage grapevine. This disease, if not properly treated in time, is the cause of vegetative stress or death of the attacked plant, with the consequence of losses in production as well as a rising risk of propagation to the closer grapevines. Nowadays, the detection of Esca is carried out manually through visual surveys usually done by agronomists, requiring enormous amount of time.

Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring.

We propose a dataset to investigate the relationship between the fill level of bottles and tiny machine learning algorithms. Tiny machine learning is represented by any Artificial Intelligence algorithm (spanning from conventional decision tree classifiers to artificial neural networks) that can be deployed into a resource constrained micro controller unit (MCU). The data presented has been originally collected for a joint research project by STMicroelectronics and Sesovera.

"Doctor, can I have less frequent injection with highly efficient treatment?" A patient centered study using an electronic choice-based conjoint analysis (ePRO) to assess real world preferences regarding erythropoiesis stimulating agent to treat anaemia in chronic kidney disease (PERCEPOLIS study).

Objectives: Patient's perception analysis appears recently in numerous studies. Conjoint analysis has been used extensively by market researchers for studying how people value the characteristics of products and services. This technique was used in a clinical study to describe perceptions and preferences of anaemic patients suffering from chronic kidney disease not on dialysis (CKDnd), regarding erythropoietin stimulating agents (ESA).

[Impact of comorbidities on hemoglobin stability in patients with chronic kidney insufficiency on hemodialysis, treated with CERA in current practice: The MIRIADE study].

This national, prospective and multicenter study aimed to describe the real-life impact of comorbidities on hemoglobin stability in patients with chronic kidney disease on hemodialysis, treated with CERA in relay of an erythropoietin stimulating agent. Comorbidities were defined by the Charlson Index (adjusted on age) and hemoglobin stability as a variation of ±1g/dL after the 6-month treatment period. The 585 analyzed patients were distributed as follows according to the adjusted Charlson index: score≤3 (12% of patients), 4≤score≤5 (17%), 6≤score≤7 (31%) and score≥8 (40%).

Tocilizumab Effectiveness After Switching from Intravenous to Subcutaneous Route in Patients with Rheumatoid Arthritis: The RoSwitch Study.

Introduction: The main objective of this work was to assess the maintenance of effectiveness of subcutaneous tocilizumab 6 months after switching from intravenous to subcutaneous formulation in patients with rheumatoid arthritis (RA) in a real-world setting. Secondary objectives aimed to describe the characteristics of patients and disease, the effectiveness at 12 months after switching, the therapeutic maintenance, and to search for predictive factors of switching.

Methods: We analyzed all the RA patients of the shared medical file "RIC Nord de France", treated with tocilizumab, switching or not from intravenous to subcutaneous tocilizumab, between April 2015 and January 2016.

Inhibition of Bacterial Gene Transcription with an RpoN-Based Stapled Peptide.

In response to environmental and other stresses, the σ subunit of bacterial RNA polymerase (RNAP) controls expression of several genes that play a significant role in the virulence of both plant and animal pathogens. Recruitment of σ to RNAP initiates promoter-specific transcription via the double-stranded DNA denaturation mechanism of the cofactor. The RpoN box, a recognition helix found in the C-terminal region of σ, has been identified as the component necessary for major groove insertion at the -24 position of the promoter.

A multidisciplinary approach to oncology trials: Study conduct of the ANTHALYA trial.

Clinical trials that combine medical therapy and surgical treatment pose a number of challenges. The ANTHALYA trial investigated the efficacy and safety of adding bevacizumab to neoadjuvant carboplatin-paclitaxel chemotherapy prior to interval debulking surgery (IDS) in patients with ovarian cancer. The success of the trial depended on the efficacy and the safety of the combination and on the surgical effort.

Utilization trends in inpatient endoscopic retrograde cholangiopancreatography (ERCP): A cross-sectional US experience.

 The goal of our study was to determine the current trends for inpatient utilization for endoscopic retrograde cholangiopancreatography (ERCP) and its economic impact in the United States between 2002 and 2013.  A Nationwide Inpatient Sample from 2002 through 2013 was examined. We identified ERCPs using International Classification of Diseases (ICD-9) codes; Procedure codes 51.

Management of Hypertension in Patients with Aortic Valvular Stenosis.

Aortic stenosis (AS) has an increasing prevalence with age and is commonly associated with hypertension. While it has been established that hypertension is associated with increased mortality in patients with AS, further randomized control trials addressing the use of antihypertensives specifically in patients with AS are needed. The management of hypertension in patients with AS needs a cautious approach due to complex hemodynamic and structural changes involved.

Primary Intimal Sarcoma of the Left Atrium: An Incidental Finding on Routine Echocardiography.

Cardiac sarcomas are extremely rare primary malignant tumors of the heart. In this article, we present the case of a 70-year-old female, who was found to have a left atrial mass during a routine outpatient transthoracic echocardiography. Further investigation with cardiac magnetic resonance imaging confirmed the presence of a bilobulated mass with heterogeneous enhancement.