machine learning

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McAfee Labs Threats Predictions Report Previews Cyber Threats for 2017 and Beyond

Press Release | McAfee Labs, Intel Security | November 29, 2016

Intel® Security today released its McAfee Labs 2017 Threats Predictions Report, which identifies 14 threat trends to watch in 2017, the most critical developments to watch for in cloud security and the Internet of Things (IoT) security, and the six most difficult-to-solve challenges facing the cybersecurity industry. The report reflects the informed opinions of 31 Intel Security thought leaders. It examines current trends in cybercrime and makes predictions about what the future may hold for organizations working to take advantage of new technologies to both advance their businesses and provide better security protection...

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Medal Unveils Platform to Pioneer the Creation of a Unified, Contextual Record of Health

Press Release | Medal, Inc. | February 11, 2019

Medal Inc. today announced the debut of its platform that can extract, transform and use the vast and fragmented information that exists about patients - and present it to healthcare providers in a timely and meaningful way. Health data is only purposeful when it is accessible and contextual. Medal developed a complete system for extracting medical information from every possible source where data is trapped: fax, printed paper, health information exchange data, and from EMRs. Machine learning and Natural Language Processing (NLP) match more than 300 medical attributes to each word of unstructured text, allowing clinicians to more easily gain access to critical data that could save a patient's life.

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Microsoft and Partners Combine the Cloud, AI, Research and Industry Expertise to Focus on Transforming Health Care

Peter Lee | Microsoft Blog | February 16, 2017

...Healthcare NExT, a new initiative to dramatically transform health care, will deeply integrate greenfield research and health technology product development, as well as establish a new model at Microsoft for strategic health industry partnerships. Through these collaborations between health care partners and Microsoft’s AI and Research organization, our goal is to enable a new wave of innovation and impact using Microsoft’s deep AI expertise and global-scale cloud.This initiative includes investments in resources for our partners to capture new opportunities to apply AI to healthcare, such as the Microsoft AI in Health Partner Alliance, an expanding group of partners focused on advancing health technology. Alliance members will receive unique training and access to Microsoft technologies, engineering expertise and data sets. Read More »

Microsoft To Open Source A Big Data Framework Called REEF

Derrick Harris | GigaOM | August 12, 2013

Microsoft has developed a big data technology that sits on top of Hadoop’s new YARN resource manager. Called REEF, it’s designed to let users build jobs that can maintain state even after they’re done, and that can grab data from wherever they need it. Read More »

myWanda Mobile App Launches to Help Women Manage Heart Health With Personalized Guidance

Press Release | Wanda | August 18, 2016

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...

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New Trends and Troubles for AI in Medicine

Nelson Williams | Silicon Angle | March 11, 2017

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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Ok Chatbot: What Is Your Value for Humanitarians?

Emily Aiken and Joseph Agoada | ICT Works | July 20, 2017

Whether or not you are aware of it, you have probably interacted with a chatbot – whether checking your finances, making a travel reservation, or even ordering a pizza. But what opportunities exist to use chatbots to assist humanitarians and development practitioners? Chatbots are conversational computer programs that can read message questions, interpret responses, and perform actions or make decisions, without any assistance from a live person on the other end...

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Open Health Guide to HIMSS19

The annual gargantuan HIMSS conference is back in Orlando with over 45,000 participants from more than 90 countries. There will be more than 1,300 vendors at the exhibit floor and more than 300 educational sessions. As with the last several conferences, the focus on open source as the key underlying technologies of health information technologies continues to increase. In previous conferences, we have seen the rise of open source technologies, in particular, those related to interoperability such as FHIR and Blockchain. A large number of sessions at HIMSS19 will be focused on another set of technologies powered largely by open source software and design principles such as artificial intelligence (AI), machine learning, and natural language processing.

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Open Source EHR Generator Delivers Healthcare Big Data with FHIR

Jennifer Bresnick | Health IT Analytics | September 8, 2017

Healthcare data analysts frustrated by the lack of access to large volumes of clean, trusted, and complete patient data can now take advantage of an open source EHR data generator platform called Synthea. One million synthetic patient records are currently available within the free online system, which uses HL7 FHIR to allow access to standardized datasets that mimic real electronic health records...

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Open Source is Helping to Drive the Artificial Intelligence Renaissance

Sam Dean | Ostatic Blog | January 4, 2017

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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Open Source Machine Learning Tools are as Good as Humans' in Cancer Surveillance According to Regenstrief, Indiana Univ. Study

Press Release | Indiana University | April 21, 2016

Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

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Open Source Projects Are Transforming Machine Learning and AI

Machine learning and artificial intelligence have quickly gained traction with the public through applications such as Apple’s Siri and Microsoft’s Cortana. The true promise of these disciplines, though, extends far beyond simple speech recognition performed on our smartphones.  New, open source tools are arriving that can run on affordable hardware and allow individuals and small organizations to perform prodigious data crunching and predictive tasks.

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OpenMRS Google Code-In Student Nji Collins Wins Grand Prize

In Nov. 2016, Nji Collins (aka Collin Grimm), a high school student from Bamenda, Cameroon, participated in Google Code-In, the global online coding contest which for pre-university students aged 13 to 17. GCI introduces young talented minds to the incredible open-source world. During the seven-week program, Grimm completed 20 tasks using the Open Medical Record System, or OpenMRS, a platform that focuses on improving healthcare service in developing countries. We spoke with the young programmer to learn more about his story and interest in computer science and how he came to compete in Google Code-In...

Payam Etminani

Payam Etminani is the CEO and Co-Founder of Bitscopic. Etminani co-founded Bitscopic after a colleague, friend and mentor at the U.S. Department of Veterans Affairs (VA), John Lopez, contracted a hospital acquired infection at a VA hospital. Read More »

Percona Announces Speakers, Tutorials and Sponsors for Percona Live Open Source Database Conference Europe 2017

Press Release | Percona | August 3, 2017

Percona, the company that delivers enterprise-class MySQL®, MongoDB® and other open source database solutions and services, today revealed the initial roster of speakers, tutorials and sponsors for Percona Live Open Source Database Conference Europe 2017, taking place September 25-27, 2017 at the Radisson Blu Royal Hotel in Dublin, Ireland. The special Early Bird registration discount rate is only available until August 8, 2017, and a special room rate at the Radisson Blu Royal Hotel expires on August 14, 2017. Sponsorship opportunities are still available...

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