Graphene 3D printing

As discoveries around graphene applications abound, many are wondering if it can be scaled to 3D. This could have revolutionary effects, but it begs the question, have scientists been successful in graphene 3D printing? Find out! GRAPHENE 3D PRINTING Is It Possible? So, is it possible to 3D print graphene? The short answers is, not

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US Researchers Continue to Improve 3D Printed Prosthetics for Children

US researchers from the University of Central Florida and Oregon Health and Science University have come together to review the history not only of prosthetics overall in the medical field but also to further inspect the transformation allowed by 3D printing. Contending that there are still many problems to be solved in prosthetics, the authors further explore children’s physical

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Artificial Intelligence in Health Care Will the Value Match the Hype?

Source: JAMA Artificial intelligence (AI) and its many related applications (ie, big data, deep analytics, machine learning) have entered medicine’s “magic bullet” phase. Desperate for a solution for the never-ending challenges of cost, quality, equity, and access, a steady stream of books, articles, and corporate pronouncements makes it seem like health care is on the

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Study shows AI improves accuracy of lung cancer diagnosis

One of lung cancer’s most lethal attributes is its ability to trick radiologists. Some nodules appear threatening but turn out to be false positives. Others escape notice entirely, and then spiral without symptoms into metastatic disease. On Monday, however, Google unveiled an artificial intelligence system that — in early testing — demonstrated a remarkable talent

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5G In Healthcare

Source: TMF The next telecommunication revolution is just around the corner: the promises of high bandwidth, low latency and low-power-low-cost of 5G will open the gate to a flood of new inventions and the implementation of ideas, which have already been for long in the public consciousness – such as stable augmented reality or truly

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Distinguishing different subtypes of sepsis by machine learning sets the stage for individualized treatment, researchers say

Four clinical sepsis phenotypes were identified that correlated with host-response patterns and clinical outcomes, researchers reported here. The four novel sepsis phenotypes — alpha (α), beta (β), gamma (γ), and delta (δ) — with different demographics, laboratory values, and patterns of organ dysfunction were derived, validated, and shown to correlate with biomarkers and mortality, according

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