Innovations In Rehabilitation Services Coverage: European Health Insurance Trends

Innovations In Rehabilitation Services Coverage: European Health Insurance Trends – Pocket ultrasounds cost 50 seconds less than hospital ones (and connect to your phone). Virtual reality speeds up recovery in rehab. Artificial intelligence is better than medical professionals at detecting lung tumors These are just some of the innovations that are currently transforming medicine at a remarkable rate.

No one can predict the future, but at least it can be glimpsed in the dozens of inventions and concepts below. Like the people behind them, they stand at the forefront of healthcare. Neither exhaustive nor exclusive, rather, this list represents a recap of public health and medical science that is likely to emerge in the 2020s.

Innovations In Rehabilitation Services Coverage: European Health Insurance Trends

Since March, UPS has been conducting an experimental program called Flight Forward, which uses drones to automatically transport vital medical samples including blood or tissue between two branches of a hospital in the United States. Raleigh, N.C., are located 150 yards apart. An athlete on foot as fast as a fleet could cover distances as fast as a drone, but as a proof-of-concept program, it was successful, and in October, the FAA licensed the company. The company expands to 20 hospitals across the United States over the next two years. “We look forward to one day UPS Flight Forward becoming a very important part of our company,” said David Abney, CEO of UPS, of the service. This service will provide urine, blood, and tissue samples, as well as medical necessities such as medicine and transfuseable blood. UPS is not alone in pioneering air delivery. Wing, a division of Alphabet, the parent company of Google, received similar but more limited FAA approval to make deliveries to both Walgreens and FedEx. And in Ghana and Rwanda, drones operated by Silicon Valley startup Zipline have delivered medical supplies to rural villages. —Jeffrey Kluger

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There are 7.5 billion people, and tens of millions of us monitor our health with wearable devices like smartwatches, as well as with more traditional devices like blood pressure monitors. If there was a way to aggregate all that data from even a few million of us and make it all anonymous but searchable, medical researchers would have a tool. powerful for drug development, lifestyle research, etc. California-based big data company Evidation has developed such a tool, with information from 3 million volunteers providing trillions of data points. Evidation works with drug makers such as Sanofi and Eli Lilly to analyze that data; That work has led to dozens of peer-reviewed studies, on topics ranging from sleep and diet to patterns of cognitive health. For founder Christine Lemke, one of Evidation’s ongoing projects, to see if new technologies can effectively measure chronic pain, is personal: Lemke has a genetic disease. Rare transmission causes frequent back pain. Evidation is collaborating with Brigham and Women’s Hospital on the project.—Jeffrey Kluger

Type 1 diabetes affects 1.25 million Americans, but two in particular caught the attention of Harvard biologist Doug Melton: his daughter Emma and son Sam. Treatment may involve a lifestyle of careful eating, insulin injections, and multiple daily blood glucose tests. Melton has a different approach: using stem cells to create insulin-producing replacement beta cells. He started this work more than 10 years ago, when stem cell research was sparking hope and controversy. In 2014, he co-founded Semma Therapeutics—the name comes from Sam and Emma—to develop the technology, and this summer the company was acquired by Vertex Pharmaceuticals for $950 million. The company has created a small, implantable device containing millions of replacement beta cells, which allows glucose and insulin to pass through but blocks the immune cells. “If it works as well in humans as it does in animals, maybe people won’t get diabetes,” says Melton. “They will eat and play like us.”—Don Steinberg

A major limitation threatens to impede the era of personalized medicine: Caucasians are a minority in the global population but account for nearly 80% of subjects in human genomics research, creating a research blind spot. medicine. Dr. Abasi Ene-Obong, 34, founded 54gene to change that. Named after Africa’s 54 countries, this Nigeria-based startup is sourcing genetic material from volunteers across the continent, to make drug research and development more equitable. . 54gene is aware of the bad history of colonial exploitation in Africa. If companies profit by developing marketed drugs based on African DNA, Africa will benefit: therefore, when partnering with companies, 54gene favors those companies. The company is committed to including African countries in its marketing plan for any drug. “If we are part of the path to drug creation, then perhaps we can also be part of the road to bringing these drugs into Africa,” Ene-Obong said.

One of the early disruptive elements of the new economy was his approach to medical research. The Parker Institute for Cancer Immunotherapy, founded by Sean Parker, Napster co-founder and former Facebook president, is a network of leading organizations including Memorial Sloan Kettering, Stanford, MD Cancer Center Anderson, etc. Its goal is to identify and remove obstacles to innovation in traditional research. For example, all participating institutes have agreed to accept the approval decision of any of their respective Institutional Review Boards, which “enables us to launch large clinical trials in weeks instead of years,” says Parker, and at a lower cost. Perhaps most importantly, Parker wants to infuse the project with his market sensibility: “We follow the discoveries that come in from our researchers and then spend our money to commercialize them. ,” he said, either by licensing a product or turning it into a company. Since its founding in 2016, the institute has entered 11 projects into clinical trials and supported around 2,000 research articles.

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A man wearing what looks like a chunky black wristwatch stares at a tiny digital dinosaur jumping over an obstacle on a computer screen in front of him. The man’s hands were motionless, but he was controlling the dinosaur—with his brain. The device on his wrist is the CTRL-kit, which detects electrical impulses traveling from motor neurons down the arm muscles and to the hand almost as soon as a person thinks about a particular movement. “I want machines to do what we want them to do, and I want us not to be enslaved by machines,” said Thomas Reardon, CEO and co-founder of CTRL-Labs, the device manufacturer. . Reardon, a neuroscientist who led the development of Microsoft’s Internet Explorer, said the stooped posture and clumsy typing of the smartphone age represented “a step backwards for humanity.” type”. This technology could open up new forms of rehabilitation and accessibility for patients recovering from stroke or amputation, as well as those with Parkinson’s disease, multiple sclerosis and degenerative conditions. other neurochemicals, Reardon said.—Corinne Purtill

More than 4 billion people globally do not have access to medical imaging—and could benefit from the Butterfly iQ, a portable ultrasound device. Jonathan Rothberg, a Yale University genetics researcher and serial entrepreneur, has found a way to put ultrasound technology into a chip, so instead of a $100,000 machine in hospital, it’s a $2,000 anytime-anywhere gadget that connects to an iPhone app. It went on sale last year to medical professionals. “Our goal is to sell to 150 countries that can afford it. And [the Gates Foundation] is distributing it in 53 countries can’t,” Rothberg said. The equipment is not as good as the big machines and will not replace them in the prosperous parts of the world. But it can make scanning more frequent. “There was a time when thermometers were used only in medical settings, when blood pressure cuffs were used only in medical centers,” says Rothberg. “The democratization of [health] takes place in many ways.”—Don Steinberg

Symptoms of lung cancer often do not appear until later, when it is difficult to treat. Early screening of high-risk groups with CT scans can reduce the risk of death, but it comes with its own risks. The U.S. National Institutes of Health found that 2.5% of patients who received CT scans subsequently endured unnecessary invasive treatments—some resulting in death—after X doctors misdiagnosed false-positive results. Shravya Shetty believes artificial intelligence could be the solution. Shetty is a research lead on a Google Health team that over the past two years has built an AI system that outperforms human radiologists in diagnosing lung cancer. After being trained on more than 45,000 patient CT scans, Google’s algorithm detected 5% more cancer cases and had 11% fewer false positives than a control group of six X doctors human light. Early results are promising, says Shetty, but “there’s a pretty big gap between where things are and where they can be,” Shetty said. “It was that latent impact that kept me going.”—Corinne Purtill

Every year, more than 2 million peer-reviewed research papers are published—too many for any individual scientist. However, machines do not share this limitation of humans. BenevolentAI has created algorithms that search research papers, clinical trial results, and other sources of biomedical information to look for previously overlooked relationships between genes, drugs, and diseases. BenevolentAI CEO Joanna Shields served as an executive at companies like

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