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This Squishy 3D-Printed Human Heart Feels Like the Real Thing

WIRED

In the intro to the HBO sci-fi series Westworld, a 3D printer churns out humanoid robots, delicately assembling the incredible complexities of the human form so that those robots can go on to--spoiler alert--do naughty things. It takes a lot of biomechanical coordination, after all, to murder a whole lot of flesh-and-blood people. Speaking of: Researchers just made a scientific leap toward making 3D-printed flesh and blood a reality. Writing recently in the journal ACS Biomaterials Science & Engineering, a team described how they repurposed a low-cost 3D printer into one capable of turning an MRI scan of a human heart into a deformable full-size analog you can actually hold in your hand. Squeeze it, and it'll give like the real thing.


Future Trends in Digital Health

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Like so much of our lives, the future of healthcare is digital. Technological advances have given rise to tools that would usually be found in science fiction novels. Now they are helping to diagnose and treat a huge variety of illnesses and improve the quality of life for millions. Now more than ever we can see the huge advantages of embracing digital health in order to enable people to stay at home and still receive appropriate care for minor ailments and check-ups, or advice on their long-term conditions. In response to the global pandemic, hospitals and GP surgeries are embracing remote appointments and other digital measures to treat their patients and ensure they remain safe and well in their own homes.


Future of Smart Healthcare

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The field of healthcare and medicine and specially the digital healthcare will get a great boost with the advancement and wide scale use of Quantum Computing and Artificial Intelligence. In fact, these technologies have already started transforming different areas of Healthcare and Medicine in a big way. Before even quantum computers were there, scientists at the University of Virginia School of Medicine long back anticipated the potential of quantum computers to better understand genetics and different diseases. The envision been realized and a team at the University's center for quantum computing & biology is now harnessing the power of quantum computing to gain better insights into genetic diseases with the help of machine learning algorithms. Researchers expecting that these efforts will benefit not only health care and medicine but also many other streams of science and technology.


Army-Funded Algorithm Decodes Brain Signals

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A new machine-learning algorithm can successfully determine which specific behaviors--like walking and breathing--belong to which specific brain signal, and it has the potential to help the military maintain a more ready force. At any given time, people perform a myriad of tasks. All of the brain and behavioral signals associated with these tasks mix together to form a complicated web. Until now, this web has been difficult to untangle and translate. But researchers funded by the U.S. Army developed a machine-learning algorithm that can model and decode these signals, according to a Nov. 12 press release.


Medical technology gives healthcare a shot in the arm

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Coronavirus has killed hundreds of thousands of people and has strained health systems around the world, but for Tony Young there may be a patch of a silver lining. The pandemic is accelerating use of technology to radically advance medicine and save lives in the future. "There are so many fantastic examples of the way in which technology is empowering our patients and our professionals," says Prof Young, a surgeon and national clinical lead for NHS England. Having launched his own medical-technology start-ups, he is helping to introduce innovations across the UK health service. Digital tools, whether for data management and drug development or enhanced diagnosis and treatment, have sharply improved the response to the threat of infection and all sorts of disease.


The healthcare technology revolution: AI-assisted doctors

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Piotr Orzechowski, CEO at Infermedica explains why AI provides so many advantages over traditional rule-based decision trees and how integrating AI technology with doctors expertise can enhance patient care. Anxiety about the introduction of automation in the workplace has been well documented. With some estimations stating that, by 2025, machines will be doing half of all work tasks, perhaps concerns are not entirely misplaced. In healthcare, robotics and machine learning are already having an impact on patient care, providing basic assistance across many clinical facilities – no doubt a life-saving job. Some may feel that eventually technology – specifically Artificial Intelligence (AI) – will progress to a point where it can deliver advanced consultation, without the need for a physician.


Robotic surgery at Columbia VA is making a big difference for patients

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BEGIN ARTICLE PREVIEW: According to doctors, the new program has helped patients receive the care they need, shorten hospital stays, and created better outcomes. COLUMBIA, S.C. — The Dorn VA Hospital in Columbia has started a new program with robotic surgery that’s making a big difference for patients. Doctor Kurt Fichtner is a surgeon at the Dorn VA Hospital in Columbia. He says they started their robotic surgery program earlier on in the year. “The robot was brought in November/December time frame last year. We underwent training and began doing some of our first cases in the January/February time frame,” said Dr. Fichtner. Even with the coronavirus pandemic, Dr. Fichtner says he’s had 50 total cases himself and another five or six cases for the other surgeon who’s a part of their progr


AI that can diagnose tinnitus from brain scans may improve treatment

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An artificial intelligence that can diagnose tinnitus based on the results of brain imaging, rather than subjective tests, may help improve treatments for the condition. Mehrnaz Shoushtarian at the Bionics Institute in Melbourne, Australia, and her colleagues have developed an algorithm that can detect whether a person has tinnitus, and also how severe it is. The AI can spot the presence of tinnitus with 78 per cent accuracy, and distinguish between mild and severe forms with 87 per cent accuracy. Chronic tinnitus affects around 15 per cent of adults. The condition is usually diagnosed by a hearing test, by self-reporting or based on a subjective questionnaire.


With deep learning algorithms, standard CT technology produces spectral images

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Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnose, treat, and monitor disease. Ge Wang, an endowed professor of biomedical engineering at Rensselaer Polytechnic Institute, has received significant recognition for devoting his research to coupling those imaging technologies with artificial intelligence in order to improve physicians' "vision." In research published today in Patterns, a team of engineers led by Wang demonstrated how a deep learning algorithm can be applied to a conventional computerized tomography (CT) scan in order to produce images that would typically require a higher level of imaging technology known as dual-energy CT. Wenxiang Cong, a research scientist at Rensselaer, is first author on this paper. Wang and Cong were also joined by coauthors from Shanghai First-Imaging Tech, and researchers from GE Research.


AI Company Cense.ai Exposed Over 2.5 Million Medical Records

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Cense.ai is an Artificial Intelligence company that works in a wide range of areas. According to the company website, Cense.ai It is this last practice that led to the company exposing over 2.5 million medical records. According to researcher Jeremiah Fowler, all of the records were readily available to view or download by anyone with an Internet connection. Though it remains unclear how long the data was available online, Fowler made the discovery on July 7th, 2020.