Noblis, Inc. is proud to announce today the release of Noblis BioPortal, a comprehensive online resource for exploring the company’s cutting-edge bioinformatics research and tools...Noblis’ bioinformatics research and tools bring the best of the company’s microbiology, bioinformatics, and data science expertise together to solve pressing bioinformatics challenges. Noblis’ tools run on a robust high performance computing infrastructure, and enable advanced bioinformatic analysis in a variety of domains. This allows users to analyze very large datasets, such as next-generation sequencing reads, to turn genomic data into actionable information...
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HHS Secretary Equates Health IT to ‘Burden’ for Doctors
Health and Human Services Secretary Tom Price advocated Thursday for reducing the burden placed upon physicians and health care providers by the health technology that is otherwise meant to improve care for patients. Speaking at his first Health Datapalooza as the head of HHS, Price said the proliferation of health IT is something that “can have remarkably challenging and sometimes destructive consequences”...
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Hiring Managers Advise Job Seekers To Contribute To Open-Source Projects
Contributing to open-source projects can give software developers an edge over other applicants in the competitive IT job market, say hiring professionals. Read More »
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How Big Data Is Taking On Breast Cancer — And Big Biotech
Now that the Supreme Court has decided that human genes can’t be patented, a group of researchers is using high-tech data science to better understand the genetic mutations associated with breast cancer. Read More »
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Machine Learning in Healthcare: Part 1 - Learn the Basics
This article is the first in a three-part series that will discuss how machine learning impacts healthcare. The first article will be an overview defining machine learning and explaining how it fits into the larger fields of data science and artificial intelligence. The second article will discuss machine learning tools available to the average healthcare worker. The third article will use a common open source machine learning software application to analyze a healthcare spreadsheet. Part I was written to help healthcare workers understand the fundamentals of machine learning and to make them aware that there are simple and affordable programs available that do not require programming skills or mathematics background...
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Mortal Coils: Why We Must Stop Tolerating Failing Health Tech
Today, data are scattered across thousands of database tables within any single electronic medical record (EMR) system, but also across dozens of other systems that hold pharmacy data, imaging data, insurance data, laboratory data, etc. Pretty much none of it is available on demand in any given clinical setting. The inevitable result of this disconnected galaxy of data "black holes" is mistakes, or if not outright mistakes, well-intentioned missteps based on lack of background data within the acute-care setting.
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myWanda Mobile App Launches to Help Women Manage Heart Health With Personalized Guidance
Wanda, a leading digital health platform dedicated to advancing the effectiveness and efficiency of chronic health condition management, today announced the launch of myWanda, the first and only mobile application specifically aimed at empowering women to improve the health of their hearts. Wanda is expanding its analytics ecosystem with mobile applications to engage individuals earlier in their lives, onboarding them onto the Wanda platform...
New Genomic Data Platform to Focus on Children’s Health Issues
Investigators from the University of Chicago Medicine will play a central role in a five-year, $14.8 million effort by the National Institutes of Health, contingent upon available funding, to improve the understanding of inherited diseases. The project, known as the Gabriella Miller Kids First pediatric data resource center, will be a multi-centered effort led by investigators at the Center for Data Driven Discovery in Biomedicine at the Children’s Hospital of Philadelphia (CHOP)...
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New Trends and Troubles for AI in Medicine
Medicine is a complex field. So complex that any given person can’t know more than a fraction of what’s going on. Keeping up with the latest discoveries is impossible. Machine learning and other forms of artificial intelligence offer a new way of looking at medicine and a great power to automate medical tasks. At the South by Southwest conference event in Austin, TX, a panel of experts came together to discuss the state of medical AI and how machine learning can benefit both patients and doctors...
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Next Wave of Entrepreneurs Arrives at HHS to Help Tackle Major Healthcare Challenges
Today, Bryan Sivak, U.S. Department and Health and Human Services Chief Technology Officer, announced the newest cohort of HHS Entrepreneurs-in-Residence. Part of the Secretary’s Initiatives to better serve the American people, the HHS Entrepreneurs-in-Residence program matches HHS employees with external expertise to work on a high risk high reward projects over a 13-month period.
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NIH Broadens Its Role In Data Science
The National Institutes of Health (NIH) is putting a fresh emphasis on health informatics, with Director Francis Collins, MD, creating a new advisory position and recruiting an associate director for Data Science. Read More »
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NIH To Appoint Chief Data Official
The National Institutes of Health plans to recruit a new associate director to examine the potential for vast new troves of biomedical research data related to genomics, imaging, and electronic health records, the institute said Thursday. Read More »
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Open Health Data In Practice: Increase Your Access To Lab Results
I’m convinced that there’s a wave of innovation coming in healthcare, driven by new kinds of data, new ways of extracting meaning from that data, and new business models that data can enable. That’s one of the reasons why we launched our StrataRx Conference, which focuses on the importance of data science to the future of health care. Read More »
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Open Source is Helping to Drive the Artificial Intelligence Renaissance
We're only a few days into 2017, and it's already clear that one of the biggest tech categories of this year will be artificial intelligence. The good news is that open source AI tools are proliferating and making it easy for organizations to leverage them. AI is also driving acquisitions. As Computerworld is reporting, in the past year, at least 20 artificial intelligence companies have been acquired, according to CB Insights, a market analysis firm. MIT Technology Review is out with its five big predictions for AI this year. Here is a bit on what they expect, and some of the open source AI tools that you should know about...
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