Personalizing health care: feasibility and future implications.

Considerable variety in how patients respond to treatments, driven by differences in their geno- and/ or phenotypes, calls for a more tailored approach. This is already happening, and will accelerate with developments in personalized medicine. However, its promise has not always translated into improvements in patient care due to the complexities involved. There are also concerns that advice for tests has been reversed, current tests can be costly, there is fragmentation of funding of care, and companies may seek high prices for new targeted drugs. There is a need to integrate current knowledge from a payer's perspective to provide future guidance. Multiple findings including general considerations; influence of pharmacogenomics on response and toxicity of drug therapies; value of biomarker tests; limitations and costs of tests; and potentially high acquisition costs of new targeted therapies help to give guidance on potential ways forward for all stakeholder groups. Overall, personalized medicine has the potential to revolutionize care. However, current challenges and concerns need to be addressed to enhance its uptake and funding to benefit patients

Vehicles reversing or rolling backwards: an underestimated hazard

Patients and methods—Medical records and questionnaires completed by parents for 32 children admitted to the Department of Pediatric Surgery, Graz, within the past eight years, were analysed. Results—The median age was 2.1 years (1.0–14.0 years). Fourteen of 32 of the cars were driven by family members (43.8%); three were rolling backwards without a driver (9.4%). The median injury severity score was 3 (1–27) and the most common injuries were contusions (40.6%), fractures (31.3%), and lacerations/burns (21.9%). Most incidents occurred in driveways (37.5%) or farmyards (21.9%). Altogether 70.3% of children sustained "run-over" injuries, 29.6% were hit by the rear bumper or injured by a breaking window. Conclusions—Toddlers playing in driveways or farmyards are at risk of a injury caused by reversing vehicles/vehicles rolling backwards

Unsupervised Facade Segmentation using Repetitive Patterns

Abstract. We introduce a novel approach for separating and segmenting individual facades from streetside images. Our algorithm incorporates prior knowledge about arbitrarily shaped repetitive regions which are detected using intensity profile descriptors and a voting–based matcher. In the experiments we compare our approach to extended state–of–the–art matching approaches using more than 600 challenging streetside images, including different building styles and various occlusions. Our algorithm outperforms these approaches and allows to correctly separate 94 % of the facades. Pixel–wise comparison to our ground–truth yields a segmentation accuracy of 85%. According to these results our work is an important contribution to fully automatic building reconstruction.