Source:-sciencedirect Highlights•ECGs with electrode misplacement can simulate abnormalities such as ectopic rhythm, chamber enlargement or myocardial infarction, which can lead to significant diagnostic errors such as false positive diagnoses of anterior infarction, ventricular hypertrophy, ischemia, or Brugada syndrome.•V2 is the most sensitive misplaced electrode with regards to the change in the signal followed by V3, Read More

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Source – healthcareitnews.com Pharmaceutical company Takeda and research and development data science institute ConvergeHEALTH by Deloitte have partnered to study patient datasets to better understand the etiology, progression and most effective therapies for difficult diseases. Using insurance claims information including diagnoses, medical procedures and prescriptions, they ran linear and non-linear models on disease datasets like Read More

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Source – cmswire.com Google’s AlphaGo made history in May 2017 when it defeated Ke Jie, the world’s reigning champion of the ancient Chinese game Go. It was the first computer program to defeat a professional human Go player, much less a world champion. Later that year, Google introduced AlphaGo Zero, an even more powerful iteration of AlphaGo. Anyone wanting Read More

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Source – sciencemag.org Last week, the credit reporting agency Equifax announced that malicious hackers had leaked the personal information of 143 million people in their system. That’s reason for concern, of course, but if a hacker wants to access your online data by simply guessing your password, you’re probably toast in less than an hour. Now, there’s more bad Read More

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Source – cio.com In recent years, enterprise machine learning has revolved around crunching numbers: analyzing datasets or tracking customer behavior. But what organizations will soon realize is that applying machine learning to content—physical documents, images, presentations and even conversational UIs—removes the cap on who machine learning impacts, and how far its value extends across the enterprise. Read More

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Source – imeche.org The smart materials of the future are likely to be discovered not in the lab, but on a supercomputer. Materials science has exploded in recent years – offering tantalising potential solutions to engineering challenges ranging from higher-capacity batteries to safer medical devices. There are materials that work at the molecular level to fight bacteria, Read More

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Source – engadget.com Although the field of machine learning has only recently reached mainstream notoriety, machines have been taught to learn and make predictions from data for decades. You probably already make use of some of its more established applications like email spam filtering, optical character recognition of scanned documents, and animated dog ears in Snapchat. Read More

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Artificial Intelligence