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January 18, 2017

Robotic Sleeve Mimics Muscles To Keep a Heart Beating

Slashdot: Science - Fetched: January 18th, 2017, 11:00pm UTC
randomErr writes: 5.7 million adults in the United States have heart failure each year with about 41 million worldwide. Currently, treatment involves surgically implanting a mechanical pump, called a ventricular assist device (VAD), into the heart. The VAD helps maintains the heart's function. But patients with VADs are at high risk for getting blood clots and having a stroke. Researchers at Harvard University and Boston Children's Hospital have created a soft robotic sleeve that doesn't have to be implanted. The robotic sleeve slips around the outside of the heart, squeezing it in sync with the natural rhythm. "This work represents an exciting proof of concept result for this soft robot, demonstrating that it can safely interact with soft tissue and lead to improvements in cardiac function," Conor Walsh, said in a press statement. Seeker reports: "The sleeve they developed is made from thin silicone and attaches to the outside of the heart with a combination of suction devices and sutures. It relies on soft, air-powered actuators that twist and compress in a way that's similar to the outer layer of muscle of a human heart. A gel coating reduces any friction between the sleeve and the organ. Because the sleeve is soft and flexible, it can be customized to fit not just the size and shape of individual hearts, but augment the organ's weaknesses. For example, if a patient's heart is weaker on the left side than the right, the sleeve can be tuned to squeeze with more authority on the left side. As the organ gains strength, the device can be adjusted." The study has been published in the journal Science Translational Medicine.pdiv class="share_submission" style="position:relative;" a class="slashpop" href="http://twitter.com/home?status=Robotic+Sleeve+Mimics+Muscles+To+Keep+a+Heart+Beating%3A+http%3A%2F%2Fbit.ly%2F2k5wiw9"img src="https://a.fsdn.com/sd/twitter_icon_large.png"/a a class="slashpop" href="http://www.facebook.com/sharer.php?u=https%3A%2F%2Fhardware.slashdot.org%2Fstory%2F17%2F01%2F18%2F223236%2Frobotic-sleeve-mimics-muscles-to-keep-a-heart-beating%3Futm_source%3Dslashdot%26utm_medium%3Dfacebook"img src="https://a.fsdn.com/sd/facebook_icon_large.png"/a a class="nobg" href="http://plus.google.com/share?url=https://hardware.slashdot.org/story/17/01/18/223236/robotic-sleeve-mimics-muscles-to-keep-a-heart-beating?utm_source=slashdotamp;utm_medium=googleplus" onclick="javascript:window.open(this.href,'', 'menubar=no,toolbar=no,resizable=yes,scrollbars=yes,height=600,width=600');return false;"img src="http://www.gstatic.com/images/icons/gplus-16.png" alt="Share on Google+"//a /div/ppa href="https://hardware.slashdot.org/story/17/01/18/223236/robotic-sleeve-mimics-muscles-to-keep-a-heart-beating?utm_source=rss1.0moreanonamp;utm_medium=feed"Read more of this story/a at Slashdot./pimg src="http://feeds.feedburner.com/~r/Slashdot/slashdotScience/~4/-QCOLs1gyWA" height="1" width="1" alt=""/

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AI Can Predict When Patients Will Die From Heart Failure 'With 80% Accuracy'

Slashdot: Science - Fetched: January 18th, 2017, 12:00am UTC
New submitter drunkdrone quotes a report from International Business Times: Scientists say they have developed an artificial intelligence (AI) program that is capable of predicting when patients with a serious heart disorder will die with an 80% accuracy rate. Researchers from the MRC London Institute of Medical Sciences (LMS) believe the software will allow doctors to better treat patients with pulmonary hypertension by determining how aggressive their treatment needs to be. The researchers' program assessed the outlook of 250 patients based on blood test results and MRI scans of their hearts. It then used the data to create a virtual 3D heart of each patient which, combined with the health records of "hundreds" of previous patients, allowed it to learn which characteristics indicated fatal heart failure within five years. The LMS scientists claim that the software was able to accurately predict patients who would still be alive after a year around 80% of the time. The computer was able to analyze patients "in seconds," promising to dramatically reduce the time it takes doctors to identify the most at-risk individuals and ensure they "give the right treatment to the right patients, at the right time." Dr Declan O'Regan, one the lead researchers from LMS, said: "This is the first time computers have interpreted heart scans to accurately predict how long patients will live. It could transform the way doctors treat heart patients. The researchers now hope to field-test the technology in hospitals in London in order to verify the data obtained from their trials, which have been published in the medical journal Radiology.pdiv class="share_submission" style="position:relative;" a class="slashpop" href="http://twitter.com/home?status=AI+Can+Predict+When+Patients+Will+Die+From+Heart+Failure+'With+80%25+Accuracy'%3A+http%3A%2F%2Fbit.ly%2F2k2NnH0"img src="https://a.fsdn.com/sd/twitter_icon_large.png"/a a class="slashpop" href="http://www.facebook.com/sharer.php?u=https%3A%2F%2Fscience.slashdot.org%2Fstory%2F17%2F01%2F17%2F2157203%2Fai-can-predict-when-patients-will-die-from-heart-failure-with-80-accuracy%3Futm_source%3Dslashdot%26utm_medium%3Dfacebook"img src="https://a.fsdn.com/sd/facebook_icon_large.png"/a a class="nobg" href="http://plus.google.com/share?url=https://science.slashdot.org/story/17/01/17/2157203/ai-can-predict-when-patients-will-die-from-heart-failure-with-80-accuracy?utm_source=slashdotamp;utm_medium=googleplus" onclick="javascript:window.open(this.href,'', 'menubar=no,toolbar=no,resizable=yes,scrollbars=yes,height=600,width=600');return false;"img src="http://www.gstatic.com/images/icons/gplus-16.png" alt="Share on Google+"//a /div/ppa href="https://science.slashdot.org/story/17/01/17/2157203/ai-can-predict-when-patients-will-die-from-heart-failure-with-80-accuracy?utm_source=rss1.0moreanonamp;utm_medium=feed"Read more of this story/a at Slashdot./pimg src="http://feeds.feedburner.com/~r/Slashdot/slashdotScience/~4/WF05LTPxKs8" height="1" width="1" alt=""/

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