UK subscription-free satellite TV service Freesat has launched a new low-cost Freesat HD box that includes its connected TV service freetime. The Humax-manufactured box goes on sale today at a recommended price of £99 (€118) from retailers including John Lewis, Currys PC World.Freesat’s Chief Technology Officer, Matthew Huntington, said that the new Freesat HD with freetime box was a “natural extension of our award-winning TV service.”Freesat launched freetime a year ago and the service offers a roll-back TV guide, daily TV recommendations and on-demand services including the BBC iPlayer, ITV Player, 4oD, Demand 5 and YouTube.“The affordable Humax HB-1000S brings the seamless freetime TV guide to cost-conscious consumers, opening up the opportunity for more people to benefit from this leading subscription-free satellite service,” said Graham North, commercial director of Humax.
Source:https://newsroom.wiley.com/press-release/psycho-oncology/researchers-examine-health-behaviors-after-childhood-cancer-diagnosis Reviewed by James Ives, M.Psych. (Editor)Nov 7 2018In a Psycho-Oncology study of childhood cancer survivors, several health behaviors fell short of expectations for exercise and diet during early survivorship, and they remained sub-optimal upon reaching five years post-diagnosis.The study followed families of children with cancer (ages 5-17 at recruitment) from diagnosis through five years. Three years and five years post-diagnosis, 82 survivors and 103 mothers of survivors completed questionnaires assessing exercise, dietary, and sleep patterns among survivors.Related StoriesUsing machine learning algorithm to accurately diagnose breast cancerBacteria in the birth canal linked to lower risk of ovarian cancerHow cell-free DNA can be targeted to prevent spread of tumorsAt three- and five-years post-diagnosis, mothers’ and survivors’ responses indicated that few survivors engaged in appropriate levels of low-intensity exercise, fruit/vegetable intake, and dairy consumption; however, most survivors engaged in recommended levels of high intensity exercise, fast food restriction, and sleep. Higher income was associated with decreased intake of fast food over time, whereas lower income was associated with increased intake.”Childhood cancer survivors are at elevated risk for a multitude of conditions later in life, and greater engagement in healthy habits may be particularly important for this population,” said lead author Rachel Fisher, of Nationwide Children’s Hospital, in Columbus. “These findings emphasize that there is much work to be done to ensure that these survivors enjoy full, healthy lives.”
Reviewed by James Ives, M.Psych. (Editor)Dec 6 2018Children’s Hospital of Philadelphia (CHOP) celebrates a pivotal moment in medicine: approval by the European Commission (EC) of LUXTURNA® (voretigene neparvovec), the first and only gene therapy for patients with an inherited retinal disease, last month. This also makes LUXTURNA the first gene therapy for a genetic disease that has received regulatory approval in both the U.S. and European Union (EU).The EC approved LUXTURNA, a one-time gene therapy for the treatment of vision loss due to inherited retinal dystrophy caused by confirmed biallelic RPE65 mutations, in pediatric and adult patients who have sufficient viable retinal cells. RPE65 -mediated inherited retinal disease is a progressive condition that leads to total blindness in most patients.The authorization is valid in all 28 member states of the EU, as well as Iceland, Liechtenstein and Norway. In December 2017, the U.S. Food and Drug Administration (FDA) approved LUXTURNA for use in patients in the U.S.”The European Commission’s approval of LUXTURNA highlights the vital role of pediatric research in developing breakthrough cures,” said Bryan Wolf, MD, PhD, Chief Scientific Officer and Chair of the Department of Biomedical and Health Informatics at Children’s Hospital of Philadelphia. “The research conducted as a collaborative effort between CHOP’s Raymond G. Perelman Center for Cellular and Molecular Therapeutics (CCMT) and investigators at the Perelman School of Medicine at the University of Pennsylvania laid the groundwork for this revolutionary gene therapy, which was developed and is now manufactured by Spark Therapeutics. Today, we are thrilled to see LUXTURNA approved as a therapy for children and adults outside the U.S.”Related StoriesGuidelines to help children develop healthy habits early in lifeResearchers identify gene mutations linked to leukemia in children with Down’s syndromeRevolutionary gene replacement surgery restores vision in patients with retinal degenerationCHOP founded Spark Therapeutics in 2013 in an effort to accelerate the timeline for bringing new gene therapies to market. Spark’s mission, to create a world where no life is limited by genetic disease, was to build on the foundational research conducted over a multi-year period by the CHOP and Penn Medicine teams.Beginning in 2000, the initial research for LUXTURNA was conducted by Jean Bennett, MD, PhD, F.M. Kirby professor of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania’s Scheie Eye Institute, and Albert M. Maguire, MD, a professor of Ophthalmology at Penn’s Perelman School of Medicine and an attending physician at CHOP. Bennett and Maguire joined forces with then-CHOP researcher Katherine A. High, MD, a gene therapy pioneer who directed the CCMT and who is now Spark’s President and head of research and development. Dr. Maguire served as a Principal Investigator of the therapy’s clinical trials.In the U.S., the gene therapy is currently administered at 10 treatment centers by leading retinal surgeons who receive training provided by Spark Therapeutics on the administration procedure.In January 2018, Spark Therapeutics entered into a licensing and supply agreement with Novartis covering development, registration and commercialization rights to LUXTURNA in markets outside the U.S. Upon the transfer of the marketing authorization from Spark Therapeutics to Novartis. Novartis can commercialize LUXTURNA in the EU/EEA. Novartis already has exclusive rights to pursue development, registration and commercialization in all other countries outside the U.S., and Spark Therapeutics will supply the gene therapy to Novartis.Source: https://www.chop.edu/news/children-s-hospital-celebrates-european-commission-approval-first-its-kind-gene-therapy
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. A new research project at Rochester Institute of Technology will help ensure the endangered language of the Seneca Indian Nation will be preserved. Using deep learning, a form of artificial intelligence, RIT researchers are building an automatic speech recognition application to document and transcribe the traditional language of the Seneca people. The work is also intended to be a technological resource to preserve other rare or vanishing languages. “The motivation for this is personal. The first step in the preservation and revitalization of our language is documentation of it,” said Robert Jimerson (Seneca), a computing and information sciences doctoral student at RIT and member of the research team. He brought together tribal elders and close friends, all speakers of Seneca, to help produce audio and textual documentation of this Native American language spoken fluently by fewer than 50 individuals.Like all languages, Seneca has different dialects. It also presents unique challenges because of its complex system for building new words, in which a whole sentence can be expressed in a single word.Jimerson is able to bridge both the technology and the language.”Under the hood, it is data. With many Native languages, you don’t have that volume of data,” he said, explaining that some languages, while spoken, may not have as many formal linguistical tools—dictionaries, grammatical materials or extensive classes for non-native speakers, similar to those for Spanish or Chinese. “One of the most expensive and time-consuming processes of documenting language is collecting and transcribing it. We are looking at taking deep networks and maybe changing the architecture, making some synthetic data to create more data, but how do you make this work in deep learning? How do you augment data you already have?”That process of attaining data is being coordinated by a wide-ranging team that includes Jimerson; the project principal investigator Emily Prud’hommeaux, assistant professor of computer science at Boston College and research faculty in RIT’s College of Liberal Arts; Ray Ptucha, assistant professor of computer engineering in RIT’s Kate Gleason College of Engineering and an expert in deep learning systems and technologies; and Karen Michaelson, professor of linguistics, the State University of New York at Buffalo. The research team was awarded $181, 682 in funding over four years from the National Science Foundation for “Collaborative Research: Deep learning speech recognition for document Seneca and other acutely under-resourced languages.” “This is an exciting project because it brings together people from so many disciplines and backgrounds, from engineering and computer science to linguistics and language pedagogy,” said Prud’hommeaux. “In addition to enabling us to develop cutting edge technology, this project supports undergraduate and graduate students and engages members of an indigenous community that few people know is right here in western New York.”The researchers started the project in late June, bringing together the community members and linguists for data collection—acquiring and translating current and new, original recordings of Seneca conversations then converting data into textual output using deep learning models.”What you are really trying to do is find that line between the new data you can get and the changing of the architecture of a network,” Jimerson explained.Since the summer, the team has just over 50 hours of recorded material with people working full time on the translations that include breaking down the language into individual phonetic symbols and using this information to begin training the models.”We use a process called transfer learning which starts with a model trained with readily available English speech to get the basic, initial training for the system, then we’ll re-train the neural networks and fine tune it toward the Seneca language. We’re getting very good results,” said Ptucha, who is an expert in deep learning systems and technologies. Deep learning technology consists of multiple layers of artificial neurons, organized in an increasingly abstract hierarchy. These architectures have produced state-of-the-art results on all types of pattern recognition problems including image and speech recognition applications.”No one has really tried this before, training an automated speech recognition model on something as resource-constrained as Seneca. Robbie is the expert in transcribing Seneca and training the others on how to do this. He’s a pretty rare guy, ” said Ptucha,This current project is a continuation of Jimerson’s work to expand the language resources available to his community. In 2013, while he was a graduate student in RIT’s Golisano College of Computing and Information Sciences, he developed an online Seneca language translation dictionary for the Seneca Language Revitalization Program. The project was funded by the Seneca Nation and awarded to RIT’s Future Steward’s Program. Left to right, Ray Ptucha, computer engineering assistant professor, Robbie Jimerson, computer science doctoral student, both from RIT, and Emily Prud’hommeaux, assistant professor of computer science, are leading the NSF project to use artificial intelligence technology to preserve the Seneca language. Credit: A. Sue Weisler/RIT Using multi-task learning for low-latency speech translation Explore further Citation: Researchers use deep learning to build automatic speech recognition system to help preserve the Seneca language (2018, October 15) retrieved 17 July 2019 from https://phys.org/news/2018-10-deep-automatic-speech-recognition-seneca.html Provided by Rochester Institute of Technology