In research funded by the British Heart Foundation (BHF), the team developed the biomarker, or'fingerprint' – called the fat radiomic profile (FRP), using machine learning. The FRP reveals biological red flags in the perivascular space lining blood vessels which supply blood to the heart. Furthermore, the tool identifies inflammation, scarring, and changes to these blood vessels, which all indicate the chances of a heart attack in the future. Very often when an individual goes to the hospital with chest pain, a standard component of care is to have a coronary CT angiogram (CCTA). This is a scan of the coronary arteries to check for any narrowed or blocked segments.

In this blog post, Leni Helmes, member of the management board and Senior VP of SEMANTiCS 2019 Premium Sponsor FIZ Karlsruhe talks about the mission of this institution how it is carried out in initiatives such as PatentSemTech, an initiative to build and grow the community around patent data and semantic technologies. FIZ Karlsruhe – Leibniz Institute for Information Infrastructure GmbH is one of the large non-university infrastructure institutions in Germany and member of the Leibniz Association. Our public mission is „…to provide scientific information to scientists and researchers, to develop appropriate products and services and to make them publicly accessible." In this context we understand information infrastructure as the entirety of content, technologies and services that enable knowledge to be generated, disseminated and maintained. Information infrastructure is part of the whole scholarly research infrastructure and is becoming increasingly important in the course of the digital transformation.

The Founder of Focused Facilitation, with a focus on construction, Alan helps business owners and their leadership teams learn, implement, and master the Entrepreneurial Operating System to get everything they want from their business. Working in construction since she was 16, Tannis grew up in the industry before championing people – process – technology. She now works with some of the world's most successful construction companies to transcend the digital divide. After 20 years in construction Bassem launched Briq, a platform that connects, catalogues, and manages the DNA of buildings through Blockchain technology with the first enterprise blockchain custom tailored for the construction and facilities management industries. Dustin builds highly engaged teams at McCownGordon that foster inclusion and deliver unsurpassed solutions.

Over 175 financial institutions will be able to provide 8 million customers access to the tunl.chat TORONTO -- FICANEX and Ada today announced the release of tunl.chat, an AI-powered chatbot that provides more than 175 financial institutions across Canada with another channel to support approximately 8 million customers. Financial institutions can brand and tailor tunl.chat to suit their unique requirements and deploy the chatbot within their website and mobile apps. Nine financial institutions, including FirstOntario Credit Union and Kawartha Credit Union in Ontario, plus BlueShore Financial and First West Credit Union in B.C., have already committed to adopt the service. Initial implementation projects are scheduled to commence September 2019.

Paddy Padmanabhan is founder and CEO of Damo Consulting, a growth strategy and digital transformation advisory firm that works with healthcare enterprises and global technology companies, and author of The Big Unlock: Harnessing Data and Growing Digital Health Businesses in a Value-Based Era. My first instinct on being hit with the flu (after consulting Dr. Google, of course) was: I'm fine, I don't need to go to an ER. I need to speak with my primary care physician (PCP), get him to prescribe some meds, have someone pick it up for me, stay hydrated and ride it out for the next few days. I typed out a message via the myChart app on my iPhone (I had also lost my voice, so I was in no shape for a phone conversation) to my PCP, gave him a brief run-down of my symptoms, and waited. I had to wait two days before I received an answer -- from an administrative staff member, who asked me to call their after-hours service.

You are free to share this article under the Attribution 4.0 International license. With training from humans and machines, an artificial intelligence model can outperform other clickbait detectors, according to new research. In addition, the new AI-based solution was also able to tell the difference between headlines that machines--or bots--generated and ones people wrote, they says. In a study, the researchers asked people to write their own clickbait--an interesting, but misleading, news headline designed to attract readers to click on links to other online stories. The researchers also programmed machines to generate artificial clickbait.

Britain risks sleepwalking into a "ghastly, Orwellian, omniscient police state" unless it addresses the ethical dilemmas posed by new technologies such as facial recognition and artificial intelligence, the Met Commissioner has warned. Cressida Dick said while the digital age presented numerous opportunities to help in the fight against crime it was vital there was a strict legal framework to ensure it was not used inappropriately. In a speech delivered at the Lowy Institute think tank in Sydney, Australia, Ms Dick said it was important to remember that the role of technology and data was to enable humans "to make better decisions.'' She said: "We're now tiptoeing into a world of robotics, AI [artificial intelligence] and machine learning ... the next step might be predictive policing. "People are starting to get worried about that ... particularly because of the potential for bias in the data or the algorithm, [like] live facial recognition software."

Automation is not likely to eliminate millions of jobs any time soon -- but the U.S. still needs vastly improved policies if Americans are to build better careers and share prosperity as technological changes occur, according to a new MIT report about the workplace. The report, which represents the initial findings of MIT's Task Force on the Work of the Future, punctures some conventional wisdom and builds a nuanced picture of the evolution of technology and jobs, the subject of much fraught public discussion. The likelihood of robots, automation, and artificial intelligence (AI) wiping out huge sectors of the workforce in the near future is exaggerated, the task force concludes -- but there is reason for concern about the impact of new technology on the labor market. In recent decades, technology has contributed to the polarization of employment, disproportionately helping high-skilled professionals while reducing opportunities for many other workers, and new technologies could exacerbate this trend. Moreover, the report emphasizes, at a time of historic income inequality, a critical challenge is not necessarily a lack of jobs, but the low quality of many jobs and the resulting lack of viable careers for many people, particularly workers without college degrees.

When it comes to nuclear weapons and the Cold War, everything old is new again. Old treaties against the creation of long range nuclear weapons are dead and Russia is working on new nukes it promises can strike the United States in record time. Two experts have an idea how to counter the new Russian threat--turn over control of America's nuclear weapons to artificial intelligence. In an article for the military blog War on the Rocks, nuclear policy wonks turned college professors Adam Lowther and Curtis McGiffin, proposed making it easier for the President to launch nukes and advocating for an American, artificially intelligent "Dead Hand." "Dead Hand" is a Russian fail-deadly (like a fail-safe, but everyone dies), first deployed during the Cold War that ensures Russia's nukes fly if the country is attacked, even if no one exists to launch them Nuclear deterrence hinges on the theory that no country is willing to launch a nuke because it knows that rival countries will retaliate in kind. "Some ideas cross into bad science fictionland" Lowther and McGiffin suggest that, thanks to Russia's new nuclear weapons, the credible fear that America could retaliate with a nuclear strike is disappearing.

Medial EarlySign (earlysign.com), a leader in machine-learning based solutions to aid in early detection and prevention of high-burden diseases, today announced the results of new research with Mayo Clinic assessing the effectiveness of machine learning for predicting cardiac patients' future risk trajectories following hospital discharge. The peer-reviewed retrospective data study, Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention, published in JACC: Cardiovascular Interventions, evaluated the ability of machine learning models to assess risk for patients who underwent percutaneous coronary intervention (PCI) inside the hospital and following their discharge. The analyzed algorithm was developed by Medial EarlySign data scientists to identify patients at highest risk of complications and hospital readmission after undergoing PCI, one of the most frequently performed procedures in U.S. hospitals. "Contemporary risk models have traditionally had little success in identifying patients' post-PCI risks for complications, in-patient mortality, and hospital readmission. This study shows that machine learning tools may enable cardiology care teams to identify patients who may be on high-risk trajectories," said Rajiv Gulati, MD, Ph.D., Interventional Cardiologist at Mayo Clinic.