New treatment for migraine attacks on NHS to benefit thousands

The treatment has been recommended by health experts and will soon be available on the NHS.

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France sets out plan to ban disposable vapes

France joins several other European countries that are trying to stop children using e-cigarettes.

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From hagfish to membrane: Modeling age-related macular degeneration

Researchers at Utah State University have successfully demonstrated that hagfish slime proteins can accurately replicate membranes in the human eye.

Professor Elizabeth Vargis and her team study a condition called age-related macular degeneration that causes damage to the retina, making it difficult to see. They study in vitro models, or a model developed in a laboratory setting, of Bruch’s membrane, a layer in the retina of the eye, to compare the natural aging process to the effects of AMD. They published their research in ACS Biomaterials Science & Engineering this past July.

“By using these models, scientists can better understand the role of Bruch’s membrane in the development of age-related eye diseases,” Vargis said. “This research provides an affordable and widely available option.”

Studying the connection between an aging Bruch’s membrane and deterioration caused by AMD is challenging in live subjects due to the slow progression of the disease and the complexity of isolating specific layers of the retina. Creating an in vitro model of Bruch’s membrane that mimics both its healthy and aged states help researchers understand the relationship between physical changes via aging and AMD. The ideal model should be smooth, nonporous and capable of supporting cell growth. It should also replicate the changes that occur with age in thickness, stiffness and permeability.

Previous models of Bruch’s membrane have captured some of its properties but not all. The most common model is a plastic membrane called a Transwell, which supports cell culture in the retina but is much thicker and stiffer than the natural membrane and cannot easily replicate changes from aging. Other models partially represent Bruch’s membrane but are difficult to produce and/or lack certain crucial aspects required to study AMD.

In previous work with USU Biology Professor Justin Jones, researchers manipulated spider silk proteins to replicate Bruch’s membrane, but challenges in isolating proteins and limited adjustability led to the exploration of other materials. Collaboration with Jones determined that hagfish slime proteins are the best choice for replicating Bruch’s membrane while still maintaining desirable properties. Vargis and her team were able to properly grow retinal cells on hagfish slime proteins and prove that the protein’s behavior changes as the membrane mimic stages of aging and disease.

This study was supported by grants from the NIH, BrightFocus Foundation, and the Office of Naval Research.

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Battery-free robots use origami to change shape in mid-air

Researchers at the University of Washington have developed small robotic devices that can change how they move through the air by “snapping” into a folded position during their descent.

When these “microfliers” are dropped from a drone, they use a Miura-ori origami fold to switch from tumbling and dispersing outward through the air to dropping straight to the ground. To spread out the fliers, the researchers control the timing of each device’s transition using a few methods: an onboard pressure sensor (estimating altitude), an onboard timer or a Bluetooth signal.

Microfliers weigh about 400 milligrams — about half as heavy as a nail — and can travel the distance of a football field when dropped from 40 meters (about 131 feet) in a light breeze. Each device has an onboard battery-free actuator, a solar power-harvesting circuit and controller to trigger these shape changes in mid-air. Microfliers also have the capacity to carry onboard sensors to survey temperature, humidity and other conditions while soaring.

The team published these results Sept. 13 in Science Robotics.

“Using origami opens up a new design space for microfliers,” said co-senior author Vikram Iyer, UW assistant professor in the Paul G. Allen School of Computer Science & Engineering. “We combine the Miura-ori fold, which is inspired by geometric patterns found in leaves, with power harvesting and tiny actuators to allow our fliers to mimic the flight of different leaf types in mid-air. In its unfolded flat state, our origami structure tumbles chaotically in the wind, similar to an elm leaf. But switching to the folded state changes the airflow around it and enables a stable descent, similarly to how a maple leaf falls. This highly energy efficient method allows us to have battery-free control over microflier descent, which was not possible before.”

These robotic systems overcome several design challenges. The devices:

  • are stiff enough to avoid accidentally transitioning to the folded state before the signal.
  • transition between states rapidly. The devices’ onboard actuators need only about 25 milliseconds to initiate the folding.
  • change shape while untethered from a power source. The microfliers’ power-harvesting circuit uses sunlight to provide energy to the actuator.

The current microfliers can only transition in one direction — from the tumbling state to the falling state. This switch allows researchers to control the descent of multiple microfliers at the same time, so they disperse in different directions on their way down.

Future devices will be able to transition in both directions, the researchers said. This added functionality will allow for more precise landings in turbulent wind conditions.

Additional co-authors on this paper are Kyle Johnson and Vicente Arroyos, both UW doctoral students in the Allen School; Amélie Ferran, a UW doctoral student in the mechanical engineering department; Raul Villanueva, Dennis Yin and Tilboon Elberier, who completed this work as UW undergraduate students studying electrical and computer engineering; Alberto Aliseda, UW professor of mechanical engineering; Sawyer Fuller, UW assistant professor of mechanical engineering; and Shyam Gollakota, UW professor in the Allen School.

This research was funded by a Moore Foundation fellowship, the National Science Foundation, the National GEM Consortium, the Google fellowship program, the Cadence fellowship program, the Washington NASA Space Grant fellowship Program and the SPEEA ACE fellowship program.

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Researchers use AI to predict recovery after serious brain injury

Two graduate students from Western University have developed a ground-breaking method for predicting which intensive care unit (ICU) patients will survive a severe brain injury.

Matthew Kolisnyk and Karnig Kazazian combined functional magnetic resonance imaging (fMRI) with state-of-the art machine learning techniques to tackle one of the most complex issues in critical care.

Whether it is the result of a stroke, cardiac arrest or traumatic brain injury, lives can forever be changed by a serious brain injury. When patients are admitted to the ICU, families are faced with tremendous uncertainty. Will my loved one recover? Are they aware of what is going on? Will they ever be the same again? Despite these essential questions, health-care professionals are equally uncertain about the potential of a good recovery.

The graduate students are PhD candidates at Schulich School of Medicine & Dentistry in the lab of neuroscientist Adrian Owen.

“For years we’ve lacked the tools and techniques to know who is going to survive a serious brain injury,” said Owen.

An interdisciplinary team of researchers from Western, in collaboration with neurologists at London Health Sciences Centre and Lawson Health Research Institute sought to find a solution to this problem. They were led by Loretta Norton, a psychology professor at King’s University College at Western, who was one of the first researchers in the world to measure brain activity in the ICU.

The team measured brain activity in 25 patients at one of London’s two ICUs in the first few days after a serious brain injury and tested whether it could predict who would survive and who would not.

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“We previously found that information about the potential for recovery in these patients was captured in the way different brain regions communicate with each other,” said Norton. “Intact communication between brain regions is an important factor for regaining consciousness.”

The breakthrough occurred when the team realized they could combine this imaging technique with an application of AI known as machine learning. They found they could predict patients who would recover with an accuracy of 80 per cent, which is higher than the current standard of care.

“Modern artificial intelligence has shown incredible predictive capabilities. Combining this with our existing imaging techniques was enough to better predict who will recover from their injuries,” said Kolisnyk.

While encouraging, the researchers say the prediction was not perfect and needs further research and testing.

“Given that these models learn best when they have lots of data, we hope our findings will lead to further collaborations with ICUs across Canada,” said Kazazian.

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Under-review Nottingham maternity units no longer inadequate

The Care Quality Commission says the troubled service has improved – but more needs to be done.

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PM to meet NHS leaders as winter pressures loom

The talks will cover what extra support is needed in England amid strikes and growing waiting lists.

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MPs to investigate sexual harassment of female surgeons

It comes after women told BBC News of assaults by senior surgical colleagues in the operating theatre.

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Cannabis climbdown misled NHS patients – campaigners

Fewer than five patients have been prescribed whole-cannabis medicine, despite it becoming legal in 2018.

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Older adults with digestive diseases experience higher rates of loneliness, depression

While life expectancy rates for older Americans are rising, nearly 40% of adults report living with a digestive disease of some kind.

“Many people don’t realize that these conditions are very common in ambulatory care,” said Michigan Medicine gastroenterologist Shirley Ann Cohen-Mekelburg, M.D., who specializes in conditions like inflammatory bowel disease, Crohn’s disease and ulcerative colitis.

“Ultimately, this creates an excess in health care spending in the United States. Not only are these conditions debilitating for the millions of people living with them, but they’re also very expensive to treat.”

Cohen-Mekelburg says that in recent years, there has been a greater emphasis among providers in detecting why so many Americans are developing digestive diseases.

However, she notes that current approaches often fail to consider how things like psychosocial factors contribute to these conditions.

“As physicians, it’s important for us to pay attention to psychosocial factors involved in the lives of our patients, but they often go overlooked,” she said.

“These factors have the potential to significantly impact gastrointestinal health, and they also play a crucial role in the overall wellbeing of our patients.”

This notion inspired Cohen-Mekelburg and a team of fellow gastroenterologists and hepatologists to examine the rates of loneliness, depression and social isolation in older adults both with and without digestive diseases.

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Their findings were recently published in Clinical Gastroenterology and Hepatology.

Cohen-Mekelburg notes that the team also “wanted to quantify these numbers with self-reported rates of poor health.”

“Our research involved analyzing data from 2008 to 2016 from the University of Michigan Health and Retirement Study.

This is a longitudinal panel study that involves a representative sample of approximately 20,000 individuals in the U.S. who are 50 years and older, as well as their spouses,” she said.

“It’s important to note that loneliness refers to the subjective distressed feeling of being alone or lacking companionship. The correlation between loneliness and depression is well established.”

However, Cohen-Mekelburg adds that social isolation refers to the “objective physical separation from other people, which is independent of psychological well-being.”

“Therefore, there are people who live in isolation but are well-adapted, not lonely and report high psychological wellbeing. But on the other hand, there are also people who are socially connected, yet suffer from low psychological wellbeing and loneliness. This, despite having a strong social network.”

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Out of a pool of 7,110 participants, the team identified 56% of individuals with a digestive disease and 44% without one.

“Overall, 60.4% and 55.6% of respondents with and without digestive diseases reported loneliness, while 12.7% and 7.5% reported severe depression, and 8.9% and 8.7% reported social isolation, respectively,” said Cohen-Mekelburg.

“We found that individuals with a digestive disease were more likely to report ‘poor-or-fair’ health when compared to those without one. And among patients with a digestive disease, loneliness, as well as moderate to severe depression, were associated with greater odds of self-reporting ‘poor-or-fair’ health.”

Cohen-Mekelburg says that she hopes these findings eventually empower gastroenterologists to “screen patients for depression and loneliness,” in addition to their physical symptoms. “By doing this, providers can better establish care pathways for mental health treatment for their patients, which is hugely important,” she said.

“Our research shows that gastroenterologists are in a unique position to help their patients achieve good overall health. If you’re a clinician who also happens to treat older adults, even better. Being aware of the link between loneliness, depressive symptoms and digestive diseases can really benefit your patients from a holistic perspective.”

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