Dysuria: An Uncommon Presentation in Emergency Department Following Bladder Neck Disruption.

Prostate cancer is the most common life-threatening cancer diagnosed in men. Complications of prostatectomies vary and often include urinary incontinence, erectile dysfunction and pain, while other complications go unreported. While emergency physicians are already familiar with the more common post-operative complications presenting to their departments, including urinary retention, ileus, surgical site infections, venous thromboembolisms and urinary tract infections, they must have a high index of suspicion for rarer complications. We report a case of posterior bladder neck disruption as a complication of a robotic assisted laparoscopic prostatectomy that presented to the emergency department as dysuria and abdominal pain following urination

Inspection d'assemblages mécaniques par une approche Deep Learning 3D : résultats préliminaires

International audienceNos travaux de recherche sont menés dans le cadre du laboratoire de recherche commun "Inspection 4.0" entre IMT Mines Albi/ICA et la société DIOTA spécialisée dans ledéveloppement d’outils numériques pour l’industrie 4.0. Dans cet article, nous nous intéressons au contrôle de conformité d’ensembles mécaniques aéronautiques complexes (typiquement un moteur d’avion en fin ou en mi- lieu de chaine d’assemblage). Un scanner 3D porté par un bras de robot permet l’acquisition de nuages de points 3D pour la phase d’inspection. Nous avons à notre disposition un modèle CAO de l’assemblage mécanique à inspecter, et c’est ce modèle qui guidera notre démarche. Nous mettons en œuvre des techniques de classification 3D par Deep Learning. Ces modèles d’apprentissage profond sont formés sur des données synthétiques et simulées, générées à partir des modèles CAO. Plusieurs approches sont proposées et des résultats sur des acquisitions réelles sont pré-sentés

Inspection of mechanical assemblies based on 3D Deep Learning approaches

International audienceOur research work is being carried out within the framework of the joint research laboratory ”Inspection 4.0” between IMT Mines Albi/ICA and the company DIOTA specialized in the development of numerical tools for Industry 4.0. In this work, we are focused on conformity control of complex aeronautical mechanical assemblies, typically an aircraft engine at the end or in the middle of the assembly process. A 3D scanner carried by a robot arm provides acquisitions of 3D point clouds which are further processed by deep classification networks. Computer Aided Design (CAD) model of the mechanical assembly to be inspected is available, which is an important asset of our approach. Our deep learning models are trained on synthetic and simulated data, generated from the CAD models. Several networks are trained and evaluated and results on real clouds are presented

The Genotype-Tissue Expression (GTEx) project

Genome-wide association studies have identified thousands of loci for common diseases, but, for the majority of these, the mechanisms underlying disease susceptibility remain unknown. Most associated variants are not correlated with protein-coding changes, suggesting that polymorphisms in regulatory regions probably contribute to many disease phenotypes. Here we describe the Genotype-Tissue Expression (GTEx) project, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues

A map of human genome variation from population-scale sequencing

The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms. We undertook three projects: low-coverage whole-genome sequencing of 179 individuals from four populations; high-coverage sequencing of two mother-father-child trios; and exon-targeted sequencing of 697 individuals from seven populations. We describe the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants, most of which were previously undescribed. We show that, because we have catalogued the vast majority of common variation, over 95% of the currently accessible variants found in any individual are present in this data set. On average, each person is found to carry approximately 250 to 300 loss-of-function variants in annotated genes and 50 to 100 variants previously implicated in inherited disorders. We demonstrate how these results can be used to inform association and functional studies. From the two trios, we directly estimate the rate of de novo germline base substitution mutations to be approximately 10−8 per base pair per generation. We explore the data with regard to signatures of natural selection, and identify a marked reduction of genetic variation in the neighbourhood of genes, due to selection at linked sites. These methods and public data will support the next phase of human genetic researc