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4 and 27.0 years (pooled median 19.0 years, 95% CI 18.0-20.9; weighted pooled median 19.4 years, 18.2-20.1). Median life expectancy with ventilatory support, introduced in most settings in the 1990s, ranged between 21.0 and 39.6 years (pooled median 29.9 years, 26.5-30.8; weighted pooled median 31.8 years, 29.3-36.2). Risk of bias had little impact on pooled results. In conclusion, median life expectancy at birth in DMD seems to have improved considerably during the last decades. With current standards of care, many patients with DMD can now expect to live into their fourth decade of life.Innovative medicinal products are required to achieve progress in oncology; however, these are associated with high financial investments, extensive development times, and significant risk of potential failure in the pivotal clinical trials required for marketing authorization. With increasing budgetary constraints and requirements to demonstrate value, effective strategies to develop and commercialize innovative oncology products are more important than ever. check details Strategies that have proved successful in other industries require major revision for use in the oncology field, both during preclinical and clinical development as well as in the post approval value chain. This paper will examine how medicinal product strategy development differs from other industries. In particular, it will look at how the global trend toward value-based healthcare requires strategies that are based on an in-depth scientific understanding of the disease area and product-specific characteristics supported by clinical evidence. The findings are complemented by a review of the available literature and a survey of industry representatives.Several blood derivatives have been proposed for the treatment of various ocular diseases that affect either the anterior or the posterior segment of the eye. Blood sources may range from the patient's own peripheral blood (autologous) to donor tissues, mainly allogeneic peripheral blood and umbilical cord blood (UCB). The utilization of the latter permits the collection of a large amount of serum all at once, and is characterized by therapeutic feasibility in patients with a poor general condition or anemia and blood dyscrasia. Products derived from UCB have two potential uses. First, serum in the form of eye drops can be applied topically onto the ocular surface to efficiently treat anterior segment disorders such as dry eye syndrome or corneal epithelial defects with different etiologies. The rationale for and efficacy of this application derive from the high concentrations of biologically active components and growth factors in UCB, which can nourish the ocular surface. Second, UCB is a source of stem cells, which are used in the field of regenerative medicine because they differentiate into various mature cells, including corneal and retinal cells. Therefore, UCB-derived stem cells have been proposed as a replacement therapy for the treatment of retinal and optic nerve diseases, given that current standard treatments often fail. The present review explores the clinical results that have been obtained using UCB-derived products in the field of ophthalmology, as well as the current limitations of those products in this field. Furthermore, given the promising development of UCB-based therapies, possible future directions in this area are discussed.BACKGROUND Exercise for prostate cancer (PCa) survivors has been shown to be effective in addressing metabolic function and associated co-morbidities, as well as sarcopenia and significant functional impairment resulting from long-term androgen deprivation. Evidence on the cost-effectiveness of exercise interventions for PCa, however, is lacking, thus the aim of this study was to determine the cost-effectiveness of a supervised exercise intervention for long-term PCa survivors who previously received radiation therapy and androgen-deprivation therapy. METHODS Cost-effectiveness analysis from an Australian healthcare-payer perspective was conducted using patient-level data from a multicentre randomised controlled trial (RCT) of supervised exercise training (resistance and aerobic) compared to receiving printed exercise material and a recommendation to exercise in long-term PCa survivors (> 5 years post-diagnosis). Analysis was undertaken for the 6-month supervised exercise portion of the intervention, which inffectiveness analysis. Future RCTs should incorporate longer follow-up durations and collection of data to support modelling to capture future health benefits. Measures of quality of life or utility more sensitive to the impact of physical activity would also improve future economic evaluations.Neuron shape and connectivity affect function. Modern imaging methods have proven successful at extracting morphological information. One potential path to achieve analysis of this morphology is through graph theory. Encoding by graphs enables the use of high throughput informatic methods to extract and infer brain function. However, the application of graph-theoretic methods to neuronal morphology comes with certain challenges in term of complex subgraph matching and the difficulty in computing intermediate shapes in between two imaged temporal samples. Here we report a novel, efficacious graph-theoretic method that rises to the challenges. The morphology of a neuron, which consists of its overall size, global shape, local branch patterns, and cell-specific biophysical properties, can vary significantly with the cell's identity, location, as well as developmental and physiological state. Various algorithms have been developed to customize shape based statistical and graph related features for quantitative analysis of neuromorphology, followed by the classification of neuron cell types using the features. Unlike the classical feature extraction based methods from imaged or 3D reconstructed neurons, we propose a model based on the rooted path decomposition from the soma to the dendrites of a neuron and extract morphological features from each constituent path. We hypothesize that measuring the distance between two neurons can be realized by minimizing the cost of continuously morphing the set of all rooted paths of one neuron to another. To validate this claim, we first establish the correspondence of paths between two neurons using a modified Munkres algorithm. Next, an elastic deformation framework that employs the square root velocity function is established to perform the continuous morphing, which, as an added benefit, provides an effective visualization tool. We experimentally show the efficacy of NeuroPath2Path, NeuroP2P, over the state of the art.