Caleb Garling of the MIT Technology Review reports, “Machines are doing more and more of the work typically completed by humans, and detecting diseases may be next: a new company called Enlitic takes aim at the examination room by employing computers to make diagnoses based on images. Enlitic cofounder and CEO Jeremy Howard—formerly the president and lead scientist at data-crunching startup Kaggle—says the idea is to teach computers how to recognize various injuries, diseases, and disorders by showing them hundreds of x-rays, MRIs, CT scans, and other films. Howard believes that with enough experience, a computer can start to spot trouble and flag the images immediately for a physician to investigate. That could save physicians from having to comb through stacks of films.” Read more
Posts Tagged ‘health care’
The European Molecular Biology Laboratory (EMBL) and the European Bioinformatics Institute (EBI) that is part of Europe’s leading life sciences laboratory this fall launched a new RDF platform hosting data from six of the public database archives it maintains. That includes peer-reviewed and published data, submitted through large-scale experiments, from databases covering genes and gene expression, proteins (with SIB), pathways, samples, biomodels and molecules with drug-like properties. And next week, during a competition at SWAT4LS in Edinburgh, it’s hoping to draw developers with innovative use case ideas for life-sciences apps that can leverage that data to the benefit of bioinformaticians or bench biologists.
“We need developers to build apps on top of the platform, to build apps to pull in data from these and other sources,” explains Andy Jenkinson, Technical Project Manager at EMBL-EBI. “There is the potential using semantic technology to build those apps more rapidly,” he says, as it streamlines integrating biological data, which is a huge challenge given the data’s complexity and variety. And such apps will be a great help for lab scientists who don’t know anything about working directly with RDF data and SPARQL queries.
There’s money in that open data. A new report from the McKinsey Global Institute finds that machine-readable information that’s made available to others has the potential to generate significant economic value: $3 trillion annually in seven domains, to be exact.
The report, entitled Open Data: Unlocking Innovation And Performance With Liquid Information, sees the potential economic effect unfolding in education, transportation, consumer products, electricity, oil and gas, health care and consumer finance. Data becomes more liquid, the report authors note, when it is open, widely available and in shareable formats, and when advanced computing and analysis can yield from it — potentially in conjunction with proprietary data — novel insights. It doesn’t specifically mention Linked Data, but hones in on government open data platforms – including the Linked-Data infused data.gov.UK, which it cites as having had 1.4 million page views this summer – as critical to the economic good tidings. It records more than 40 countries with open data platforms, and up to 1 million data sets as having been made open by governments worldwide.
Alme for Healthcare brings the personal virtual assistant to the disease management space. Next IT’s Alme natural language platform has a history in other sectors, including financial services, where it’s servicing loan-insurance for SWBC; transportation, where it’s enabling self-service for Alaska Airlines customers; and Aetna, where it’s supporting new user registrations, among others. In fact, Aetna is one of the customers it’s working with on the new healthcare virtual assistant that is designed to improve patient outcomes and quality of care.
The personal assistant functions in a multi-modal model, supporting both talking in natural language and typing; across multiple platforms, including smart phones and tablets; and with multi-lingual capabilities. The conversational language assistant is based on what Next IT notes is a comprehensive patient ontology, support for goal-based conversations (such as helping patients stick with treatment plans), and interactive concept illustrations (pointing out where to do at-home injections, for example).
“We’re working on disease management,” says Fred Brown, founder and CEO of Next IT. “People see their doctor every six months and then sort of forget what they’re supposed to do. So we want to provide real-time help and assistance for them, and an escalation path to a live medical professional when needed.”
Chico, CA (PRWEB) September 04, 2013 — Taking a diverse collection of data sources and utilizing its own intelligence search technology, the Chico, Calif. based SyTrue integrates and structures disparate notes to produce valuable information that can be used to identify patient types who require critical physician follow up or necessary care. Rendering this information for predictive and proactive purposes, SyTrue gives healthcare providers a comprehensive perspective of the patient population and has been attracting global attention with the announcement of their commercial partnerships. Read more
Keith Speights of Daily Finance reports, “Jacob Friedman’s tweet from February might be prophetic. Earlier this year, Google invited people to apply via Twitter to be one of 8,000 to win the opportunity to try out its new Google Glass. Friedman responded by tweeting that if he had Google Glass, he would ‘use it to revolutionize health care.’ A little over a month later, Google responded to Friedman that he would get his chance. Can Google really revolutionize health care, though? In some ways, it already has — even before all the buzz over Google Glass. In other respects, there’s still a long way to go.” Read more
David D. Luxton recently wrote a piece for Armed with Science regarding the use of artificial intelligence, machine learning, and natural language processing in mental health care. He writes, “AI technology can be designed to accomplish specialized intelligent tasks, such as speech or facial recognition, or to emulate complex human-like intelligent behavior such as reasoning and language processing. AI systems that are capable of interacting with and making autonomous actions within their environment are called artificial intelligent agents. An emerging application of AI technology in the mental healthcare field is the use of artificial intelligent agents to provide training, consultation, and treatment services. Researchers at the USC’s Institute for Creative Technologies, for example, are currently developing virtual mental health patients that converse with human trainees.” Read more
Next month’s Semantic Technology and Business Conference in San Francisco will include a number of panels featuring experts from virtually every facet of the evolving world of semantic web technologies. Experts from major companies and successful startups will share their knowledge on such topics as semantic video, search, financial data, and semantic Big Data. Early bird prices end at midnight tonight. Save $500 off on-site prices and register now!
Beyond the Blob: Semantic Video’s Coming Of Age – TV and Video Metadata powers video search, discovery, personalization, and is increasingly used as the basis for targeted advertising and product placement. Join this panel as they explore and discuss advances made and challenges faced over the past year in semantic applications for video.
RDF as a Universal Healthcare Exchange Language – RDF offers a practical evolutionary pathway to semantic interoperability. It enables information to be readily linked and exchanged with full semantic fidelity while leveraging existing IT infrastructure investments. Being schema-flexible, RDF allows multiple evolving data models and vocabularies to peacefully co-exist in the same instance data, without loss of semantic fidelity. This panel will discuss the goal of adopting RDF/Linked Data as a universal healthcare exchange language. Read more
Gary Hamilton of GovHealthIT recently wrote, “Today, the acquisition of patient information for population health management is typically done through Continuity of Care Documents (CCDs). Although the exchange of health information is possible via CCDs, the amount of information they contain can be overwhelming. As such, poring over CCDs to find information relevant to patient populations can be unwieldy and time consuming. With providers challenged to manage information in just one CCD, how can they hope to use these documents to effectively influence care at the population level? The key is to look for ways to use technology to target specific patient information, pinpoint new and relevant information and alert both patients and providers when updated information is available.” Read more
Earlier this month Gartner named semantic technologies to its top ten trends list (see our story here). Recently, we caught up with Gartner vp and distinguished analyst Debra Logan, the lead author on the semantic technologies section of the Top 10 Technology Trends Impacting Information Infrastructure, 2013, to learn more about sem tech’s earning a place on the list.
One interesting point Logan made is that the top ten trends list actually is a reflection of inquiries Gartner sees from its end-user clients. So, semantic technologies’ spot on the list would seem to indicate a bubbling-up of real-world, enterprise interest. As Logan sees it, it’s very much about information overload, about minimizing the risk and maximizing the value of the data on their hands, and about the availability now from providers like Amazon and Google of infrastructures for analyzing Big Data sets.
“If we could get the same meaning from data, we might actually know what is going on, because we sure don’t now,” says Logan, of the quandary facing enterprise IT leaders. “They are struggling with definition issues and reconciliation because of the proliferation of different IT systems.”
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