Engineer the future of human health with a PhD in biomedical engineering – Study International News

Technological advancements have paved the way for many important breakthroughs in biomedical engineering. New methods are being developed, as are our understanding, diagnosing and treating of medical conditions.

Unsurprisingly, the job outlook for biomedical engineers looks promising. The US Bureau of Labor Statistics notes that employment of biomedical engineers is projected to grow four percent from 2018 to 2028, about as fast as the average for all occupations. It adds that the increasing number of technologies and applications to medical equipment and devices, along with the medical needs of a growing and ageing population, will further require the services of biomedical engineers.

If youre trained in biomedical engineering or are a graduate in a related field looking to enhance your qualifications or progress into a leadership role, you may want to consider enroling in doctoral studies in biomedical engineering.

A good place to start is Michigan State University (MSU), which has carved itself a strong reputation in the field.

Its Biomedical Engineering Department (BME) offers a competitive research-oriented doctoral programme with flexible and personalised curricula.

The department is housed in a state-of-the-art research facility and engages with faculty across several disciplines, departments and colleges to explore the intersection of medicine, human biology and engineering.

The BME department is housed within a new research facility, the Institute for Quantitative Health Science and Engineering (IQ). IQ consists of seven research divisions, i.e. biomedical devices, biomedical imaging, chemical biology, developmental and stem cell biology, neuroengineering, synthetic biology and systems biology.

The interdisciplinary research centre is devoted to basic and applied research at the interface of life sciences, engineering, information science and other physical and mathematical sciences.

Students have access to the stellar facilities and equipment at IQ, which foster extensive collaboration between researchers from different areas to solve some of the worlds most challenging biomedical problems.

This systems approach to biomedical research look set to lead to discoveries that are the first of their kind. IQ is connected to both the Clinical Center and Life Sciences buildings, establishing a biomedical research hub at MSU that holds the potential to transform medicine.

The BME department also boasts a range of expertise, including advanced imaging methods and nanotechnology in biomedical research.

Training PhD students in the biodesign process is a priority here whereby students identify significant needs for new biomedical technologies before developing commercialisable technologies that meet those needs.

MSU also provides a host of services to help students healthcare solutions make it to market.

The MSU Innovation Center houses MSU Technologies, Spartan Innovations and MSU Business CONNECT in support of entrepreneurship, facilitating technology transfer, and providing the educational and financial support to turn doctorate students research technologies into successful businesses.

Another major focus of the BME department is biomedical imaging, including the development of new nanoparticle-based combined imaging and therapeutic technologies. The IQ building has one of the few PET MRI systems in the world.

What differentiates MSU from other institutions is their new, two-semester course sequence on the development and translation of new biomedical technologies to meet clinical needs.

Named BioDesign IQ 1 and 2, these courses train BME PhD students and professional students from the colleges of medicine, law, and business to work together effectively in innovation teams. They shadow doctors, identify unmet medical needs that have significant market potential, prototype new technologies to meet those needs, and then develop intellectual property and a business plan to advance these new technologies towards commercialisation.

Apart from its stellar facilities, the university is also home to faculty with strong expertise.

For instance, inaugural IQ director and BME chairperson Christopher H Contag is a pioneer in molecular imaging and is developing imaging approaches aimed at revealing molecular processes in living subjects, including humans and the earliest markers of cancer. Through advances in detection, professionals in the field can greatly improve early detection of diseases and restoration of health. Contag was previously at Stanford University as a professor in the departments of Pediatrics, Radiology, Bioengineering, and Microbiology and Immunology.

Meanwhile, Dr Mark Worden, BME Associate Chair, has developed several interdisciplinary programmes that integrate research and education. His research on nanostructured biointerfaces and multiphase biocatalysis has resulted in over 10 patents issued or pending on technologies including microbiosensors, bioelectronics and multiphase bioreactors.

Source: Shutterstock

Other faculty members doing trailblazing work in the field include Dr Dana Spence, who is investigating and dening new roles for red blood cells in autoimmune diseases such as Type 1 diabetes and multiple sclerosis; Dr Aitor Aguirre, whose research focuses on investigating regeneration and tissue re-modelling in health and disease; and Dr Ripla Arora, who is working on understanding how hormones influence the uterine luminal and glandular epithelium to modulate receptivity and implantation, to name a few.

In addition to insightful guidance from a faculty of this calibre, PhD students also enjoy 100 percent funding, including stipend, tuition and healthcare. As a graduate student in biomedical engineering, they will have the valuable opportunity to work alongside graduate students from different departments across campus.

Without a doubt, a PhD in biomedical engineering from MSU will prove to be fulfilling endeavour, professionally and personally.

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4 leading North American universities for biomedical engineering

Humanitas MEDTEC School: Where science and biomedical engineering meet

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Engineer the future of human health with a PhD in biomedical engineering - Study International News

Diabetes-related proteins examined for the first time at high resolution – Drug Target Review

A key receptor has been examined for the first time at high resolution which could lead to better treatments for conditions such as type 2 diabetes.

Scientists have examined a key receptor for the first time at high resolution which, they say, broadens understanding of how it might function and opens the door to future improvements in treating conditions such as type 2 diabetes.

The scientists were led by experts at the University of Birmingham, UK and the Max Planck Institute for Medical Research, Germany.

Glucagon-like peptide-1 receptors (GLP1R) are found on insulin-producing beta cells of the pancreas and neurons in the brain. The receptor encourages the pancreas to release more insulin, stops the liver from producing too much glucose and reduces appetite. This combination of effects can help to control blood sugar levels.

Therefore, GLP1R has become a significant target for the treatment of type 2 diabetesand a range of drugs are now available that are based on it. But much remains unknown about GLP1R function because its small size makes it difficult to visualise.

Our research allows us to visualise this key receptor in much more detail than before, David Hodson, Professor of Cellular Metabolism at the University of Birmingham. Think about watching a movie in standard definition versus 4k, thats how big the difference is. We believe this breakthrough will give us a much greater understanding of GLP1R distribution and function. Whilst this will not immediately change treatment for patients, it might influence how we design drugs in the future.

GLP1R visualized in insulin-secreting beta cells at super-resolution (credit: University of Birmingham).

The researchers used a number of techniques to conduct a detailed examination of the receptor in living cells including synthesis of marker compounds, immunostaining, super-resolution microscopy, as well as in vivo examination of mice.

Our experiments, made possible by combining expertise in chemistry and cell biology, will improve our understanding of GLP1R in the pancreas and the brain. Our new tools have been used in stem cells and in the living animal to visualise this important receptor and we provide the first super-resolution characterisation of a class B GPCR. Importantly, our results suggest a degree of complexity not readily appreciated with previous approaches, added Johannes Broichhagen, Departmental Group Leader of the Max-Planck Institute for Medical Research.

The findings were published in Nature Communications.

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Diabetes-related proteins examined for the first time at high resolution - Drug Target Review

Live Cell Imaging Market 2020 Research Report Overview by Top Key Players, Opportunities, Key Drivers, Application and Regional Outlook To 2027 -…

Global Live Cell Imaging Industry Analysis of the value chain helps to analyze major raw materials, major equipment, production processes, customer analysis and major Live Cell Imaging Market distributors. A comprehensive analysis of the statistics, market share, performance of the company, historical analysis Till 2018, volume, revenue, growth rate of YOY and CAGR forecast for 2027 is included in the report. Research Report also provides explicit information in recent years on mergers, acquisitions, joint ventures and other important market activities. Research Analysis report also provides Porter analysis, PESTEL analysis and market attractiveness to better understand the macro-and micro-level market scenario. Live Cell Imaging report also includes a detailed description, a competitive scenario, a wide range of market leaders and business strategies adopted by competitors with their analysis of SWOT.

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Live cell imaging is the technique to study live cells with the help of images obtained from imaging systems such as high content screening systems and microscopes. This method is used by the scientists to obtain a better view of the cells biological function by studying the cellular dynamics. In recent years, live cell imaging technology has been widely accepted by various researchers to obtain a better knowledge regarding cell biology. Live cell imaging plays a crucial role in research fields such as neurology, immunology, microbiology and, genetics among others.

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Rise in the number of cancer cases along with increase in the number of government funds for R&D activities are expected to be the driving factor in the market in the future years. Use of live cell imaging in the field of personalized medicine is expected to provide growth opportunities in the live cell imaging market during the forecast period.

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Impression Healthcare (ASX:IHL) receives all permits to begin OSA trial – The Market Herald

Impression Healthcare (IHL) has received all permits needed to begin a clinical trial for IHL-42X in treating obstructive sleep apnoea (OSA).

OSA occurs when the airway at the back of the mouth is partly or completely obstructed during sleep. Breathing is then reduced or may stop altogether.

The oxygen level declines and the sleeper then wakes up and starts breathing again.

Current treatments include weight loss, decreasing alcohol intake and sleeping on the side. In more serious cases, surgery and the use of an oral device is to be prescribed.

Simultaneously, Impression has begun sophisticated product formulation development of IHL-42X to be used in upcoming clinical trial activities.

The company has also started putting together precursory data and authorisations required for a phase 1B/2B clinical trial. This is planned to begin in the second quarter of 2020.

Sleep specialist and IHL board member Dr David Cunnington has assisted in sourcing patients for the trial.

In the trial, the company will observe the severity of OSA measured by the Aponea-Hypopnea Index, number of oxygen desaturation episodes that occur, daytime excess drowsiness and cognitive performance.

This study will be a world first and will occur at facilities managed by Swinburne University.

Impression has also engaged an FDA (Food and Drug Administration) consultant to commence the FDA registration process.

Doing this will eliminate the need to conduct certain pre-clinical steps due to widely accepted publicly available clinical data on certain components of IHL-42X.

The accelerated pathway reduces both time and cost over the life of the clinical trial process to registration and marketability.

During January, Dr Mark Bleakley was appointed to the role of Chief Scientific Officer to manage the OSA and other clinical programs and will work alongside Dr Sud Agarwal and Dr David Cunnington.

Dr Mark has a PhD in Cell Biology and Genetics from the University of British Columbia.

He has already demonstrated his clinical proficiency at Impression and is a suitable replacement to John Michailidis who is unable to complete his contract due to personal reasons.

Impression's share price is down 1.47 per cent with shares trading for 6.7 cents apiece at midday trade AEDT.

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Impression Healthcare (ASX:IHL) receives all permits to begin OSA trial - The Market Herald

Plumbing 101: Building the body’s tubes and branches – Knowable Magazine

At first glance, our bodies seem impossibly complex, with dozens of organs built to precise specifications in exactly the right places. It seems almost miraculous that all this could develop automatically from a single fertilized egg.

But look a little closer and youll see that evolution, the master architect, has been economical with that complexity, relying on the same components again and again in different contexts. Take tubes, for example. Were basically a bag of tubes, says Celeste Nelson, a developmental bioengineer at Princeton University. We have a tube that goes from our mouth to our rear end. Our heart is a tube. Our kidneys are tubes. So, too, are lungs, pancreas, blood vessels and more most of them intricate systems of tubes with many branches.

Branching tubes appear so often because they are the best solution to a key problem that organisms face as they get bigger: As an animal grows, its volume goes up faster than its surface area. That simple physical relationship means that the logistical challenges of supplying oxygen and nutrients, and removing waste products all of which ultimately depend on diffusion through the surfaces of cells get more daunting with size.

But a dense forest of branching tubes increases the available surface area enormously. They allow us to be big, says Jamie Davies, a developmental biologist at the University of Edinburgh.

In recent years, Davies, Nelson and a few other developmental biologists have made great progress in understanding how the body makes tubes and branches in a variety of organs. Though the details usually vary from one organ to the next, some basic principles are beginning to emerge, as outlined in an article coauthored by Nelson in the Annual Review of Biomedical Engineering. So far, it looks like there are only a few ways to make a tube, only a few ways to control how it branches, and only a few ways to regulate when branching should stop.

At the most general level, its not surprising that development is based on a few simple processes. Every tissue is made of cells, and those cells have only limited options to choose among, such as moving (individually or en masse), changing shape, dividing or undergoing self-destruction. I normally tell my students that about 90 percent of what we make we can account for with only about a dozen actions, Davies says.

And once evolution forged a few ways to create tubes and branches (the two go together, more often than not), it makes parsimonious sense that bodies would fall back on that same handful of methods again and again.

Start with a dimple, then extend: Many tubes start from a flat sheet of tissue that develops dimples, or pits. Its likely that these pits originate when a ring of contractile protein molecules scrunches up on one face of the sheet, causing that face to cup as the opposite face bulges outward.

In organs like lungs, mammary glands and kidneys, this initial pit can then get deeper, like dough as a finger pushes into it, until the pit deepens so much it becomes more like an extending tube. In one well-studied example, the ducts of the mammary glands, each growing duct has an unruly mob of cells at its tip. The cells in this mob respond to the hormones of puberty by dividing rapidly. As they pioneer the advance into new territory, some cells insert themselves into the lining of the tube, pushing the mob forward as the tube lengthens. Continued cell division keeps generating new cells that will in turn go on to line the tube.

The cool thing about this mechanism is that puberty says Go, and as long as hormones are still available, youre going to keep making cells, and theyre going to keep inserting, says Andrew Ewald, a developmental cell biologist at Johns Hopkins University School of Medicine, who led the work. In a mouse, this might be an inch of elongation. In a blue whale, youre talking about yards. You just leave the motor running longer.

Tubes form within the body in a variety of ways: by rolling up a single cell (used in tiny blood vessels called capillaries); by rolling up a sheet of cells (in making the spinal cord); by forming a dimple in a sheet of cells that deepens into a tube; or by cells in the center of a rod dying or migrating to leave a hollow inside the rod. The latter two processes are most common in building bodies.

Hollow out a rod: Cells in the interior of a solid rod die or release their contacts with one another to allow a space to form between them. The mammalian vagina forms by this sort of hollowing, as do the ducts of the pancreas, and probably the salivary glands.

Roll up, roll up: Still other tubes especially the tiniest capillaries of the circulatory system form when a single elongated cell rolls up to enclose a space. And the tube that will go on to form the nervous system arises from a much larger roll-up, in which two ridges of tissue atop the early embryo bend toward each other, like two breaking waves, until they meet in the middle and fuse, leaving a tube the barrel of the waves, in essence enclosed beneath a cover of cells.

Almost all the bodys tubes form in one of these ways. And theres another level where developing organs rely repeatedly on a small set of tricks and techniques: the construction of elaborate networks of branches from all those tubes.

Branches generally form either when a single growing tip encounters two different zones of attraction and sends a tip in each direction, or when something physically restricts the tips progression. In the lung, for example, branching occurs when a band of smooth muscle fibers forms across the tip of the growing tube, creating a barrier and forcing growth to both sides.

The developing embryo must also manage the spatial growth of branching tubes so that, for example, the lung fills with just the right amount of tiny, branched airways or the circulatory system delivers capillaries to every part of the body, all without overcrowding or gaps. Researchers are only beginning to understand this control process, although a few key points are emerging.

One simple management strategy is for tubes to branch if space is available and stop when they get crowded. That straightforward system seems to apply for the mammary glands, which are little more than masses of branching milk ducts embedded in a fatty matrix.

To better understand the process, Ben Simons, a developmental biologist at the University of Cambridge, and his colleagues examined preserved mouse mammaries in meticulous detail and mapped out where, and in what context, each individual branching event must have taken place to give rise to the final structure they saw.

They found that each tube continued to grow and branch only if it was not surrounded by other tubes. Actively growing tips formed a front at the edges of the mammary, advancing into new territory, but any new tips that turned inward, to territory already colonized, would shut down. These rules, played out over time, led the ducts to fill in the available space.

This animation illustrates the random branching that occurs in the developing mammary gland as its ducts are formed. The red dots are the tips of actively growing tubes that shut down their growth when they bump into another tube (or in this case, the boundary of the animation space).

CREDIT: E. HANNEZO & B. SIMONS / CELL 2017

The molecular signals that govern this behavior have not been fully worked out, though presumably some sort of inhibition is involved. Simons suspects that the same signaling system may go awry in breast cancer, since the early stages of that disease are characterized by extra branching. Its interesting to ask how tumors reactivate that branching program, and how come it doesnt terminate, he says and hes actively working to understand this.

This system of branching to fill space has the virtue of simplicity, Simons adds. Everything is local. The cells only have to sense whats happening in their neighborhood, and it doesnt require any memory. Cells dont have to remember what decision they made way back when.

But the downside is that the gland doesnt always fill the space perfectly. Occasionally, it leaves gaps in the interior ones that can no longer be filled because the growing tips are now all out at the periphery.

The pancreas also uses local rules to build a branched structure, but by a totally different route. The organ starts its life as a mass of cells that buds from the tube that forms the gut. Gradually, holes begin to appear in the mass, and these holes eventually fuse to create an interconnected meshwork of passages. It doesnt look like branches initially it looks like a net, or a road network in a city, says Anne Grapin-Botton, a developmental biologist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany. But the process isnt done yet.

CREDIT: PROF. R. BELLAIRS

One of the most crucial tube-forming moments in embryo development is the rolling up, then fusion, of the long neural tube that will go on to form our brains and spinal cords. Yet as a mechanism, its also notoriously sloppy. Why execute a process that's so important in such a loosey-goosey manner?

No one knows why the neural tube forms in this unusual way, but it is known that the method is shared by at least one other tube in the body the urethra in the penis of male mammals. Both those tubes sometimes fail to close properly, leading to conditions known as spina bifida for the neural tube and hypospadias when the urethra opens on the underside of the penis instead of at the tip.

The error-prone nature of both may hold a clue, says developmental biologist Jamie Davies of the University of Edinburgh. Davies speculates that those two tubes would grow too slowly if they formed in other ways, and might not navigate through the body accurately enough. The risk of poor closure, he suggests, is preferable to the risk of a tube routing itself to the wrong spot.

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The passages initially are tiny. As the cells that line them begin to secrete their fluids into the open spaces, though, Grapin-Botton hypothesizes that the channels with higher flow rates begin to widen, and those with low flow rates narrow. When she simulates this process using the same mathematical equations that describe how rivers shift from braided rivulets to channels with branching tributaries, she gets a pattern matching that of a real pancreas. But she has not yet observed this flow-related adjustment in a living pancreas.

Such a process has an element of randomness, and that is exactly what anatomists see: Every pancreas has its own branching pattern even to the extent that some people have two ducts draining the pancreas, while others have just one. There is no primary design in the pancreas, as far as we know, says Grapin-Botton. What guarantees the reproducibility is the feedback from the flow. The salivary glands and perhaps the tear glands of the eyes may develop their branching networks in the same way, she says.

But not every organ can tolerate the little imperfections that come with this sort of random space-filling. Its easy to imagine, for example, that an animal might need every bit of its potential lung capacity when fleeing a predator, so unfilled spaces could prove lethal. Not surprisingly, then, evolution has shaped a more precise developmental program for the lungs.

Like the pancreas, the mammalian lung begins as a tube-shaped outpocketing again, off the embryonic gut. It then branches into two tubes, and each of those goes on to branch again and again, many times, until the lung is filled with millions of tiny airways. Detailed analyses of mouse lungs suggest that the first 15 of these cycles of branching occur in the same location in every lung, so these branchings must be following a preset plan, Nelson says. After that, the lung switches to a space-filling strategy, so that the final lung conforms to the space available in the chest cavity even if other organs take more or less space than usual.

Even more strikingly, researchers can put embryonic lungs into artificial chambers, and the lungs grow to conform to the space of those, too. You can make cubic lungs or cylindrical lungs, Nelson says.

This two-stage branching strategy might deliver the best of both worlds, Nelson adds. The early hardwired branches ensure a basic structure that fills the whole chest cavity, and the later space-filling branches finish the detailing. From a design perspective, it makes a lot of sense, she says. As an engineer, I love that. But we dont really know how that happens.

Our bodies are full of tubes, most of them branched. Here are some of the main ones.

Some hints are starting to emerge, however. Those early, pre-programmed branches depend on a molecule called FGF10, a growth factor that helps orchestrate development by carrying signals from one cell to another. In mouse embryos genetically engineered to lack FGF10, lung passages lengthen but dont branch. No one knows exactly how FGF10 determines the location of branch points, but many researchers lean toward an explanation first proposed by the mathematician Alan Turing more than half a century ago. Turing showed that under certain conditions, signaling molecules that diffuse freely among cells can spontaneously form regular spatial patterns, even in the absence of any external cue.

Mathematical simulations by Dagmar Iber, a computational biologist at ETH Zurich, and her colleagues have shown that such Turing patterns could indeed cause the regular branching patterns seen in the lung. Ibers team has also shown that the signaling pathways used by real lung cells meet the conditions necessary for Turing patterns to form, though they have not yet demonstrated that this mechanism does indeed direct the branching of a living embryonic lung.

A similar Turing-like organizing principle seems to be at work in another branched organ, the urine-collecting ducts of the kidney. There, too, researchers have found a highly predictable pattern governing early branches, also directed by a key signaling molecule but the kidneys use a different one, called GDNF.

Much remains unknown about branching in these organs. In the case of the lungs, for example, researchers have known since the 1990s that the size of each successive branch within the organ fits a fractal pattern in which the volume of each length of tube is equal to the volume of the two daughter tubes that it gives rise to. This allows air pressure to remain constant as air is drawn in and out of the airways but air pressure itself cannot help shape this pattern, which arises long before the lung is actually used. When the baby takes its first breath, it needs to have a perfect lung, Iber says. How does nature manage to arrive at that architecture?

This video shows the growing tip of a tube (milk duct) in the mammary gland of a mouse, growing toward the upper left. One single cell of the tip is labeled green. Initially, the green cell is migrating forward. It uses dynamic protrusions to push past neighboring cells and move in the direction the tube is growing. Then, at the 6-second point in the movie, the green cell stops migrating and inserts itself stably into the wall of the growing tube.

CREDIT:A.J. EWALDET AL / JOURNAL OF CELL SCIENCE2012, REPRODUCED WITH PERMISSION. DOI: 10.1242/JCS.096875

Yet another variation on the programmed-then-local-control theme plays out in the blood vessels of the body. Here, too, the developing embryo needs to ensure that a basic framework of major blood vessels is reliably in place. The first and most important thing is to get a vessel to every important part of the body. There, you have to hardwire it, says Markus Affolter, a developmental biologist at the Biozentrum of the University of Basel, Switzerland.

But once that basic scaffold is in place, the embryo switches to a supply-and-demand system. Tissues that find themselves short of oxygen send out a signal, a molecule known as VEGF, which prompts existing blood vessels to sprout new branches that grow toward the oxygen-starved area. Once the new blood vessels begin delivering oxygen, VEGF secretion drops off, and no further vessels sprout. Eventually, the newly created vessels with high blood flow stabilize, while those with minimal blood flow are pruned away, and the network of blood vessels settles into a stable, efficient configuration.

Developmental biologists are encouraged by these common themes in the genesis of tubes and branches. We wouldnt want to claim that all branching processes are the same that would be much too strong, Simons says. But we think there is a conservation of principles. That doesnt mean that the molecular underpinnings are the same, but the rules are.

Where possible, it seems, evolution has usually chosen relatively local controls to determine where and when branches are made as when mammary ducts keep branching until they bump into a boundary, or when blood vessels grow toward cells starved of oxygen. Its neater in terms of evolvability to have these simple programs that you run over and over, Davies says.

But when the system needs to meet more stringent specifications as when the early embryo needs to guarantee that blood vessels serve every organ it looks as though evolution opted to pay the higher costs for a more precise, preordained script.

And even when different organs implement the same strategy, the particular molecular tools they use in each case can differ. The devil is in the details, and the details are different from organ to organ, says Nelson. I think thats beautiful.

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Plumbing 101: Building the body's tubes and branches - Knowable Magazine

The second most popular oil in the world is a health disaster, study suggests – The New Daily

Soybean oil, the second most important oil in the world and by far the most widely produced and consumed edible oil in the US is probably not healthy for human consumption.

A 2015 study found a diet high in soybean oil causes more obesity and diabetes than a diet high in fructose, a sugar commonly found in soft drinks and processed foods.

New research shows soybean oil causes genetic changes in the brain, leading scientists to suspect it may be associated with neurological conditions like autism, Alzheimers disease, anxiety and depression.

Both studies came from the University of California, Riverside (UCR) and involved experiments on mice, and the results cant be meaningfully asserted as evidence of human vulnerability.

The authors acknowledge this limitation, but theyre urging consumers to limit their amount of soy oil intake anyway.

Male mice were fed a series of four diets that contained 40 per cent fat, similar to what Americans consume.

Diet one: Coconut oil, which consists primarily of saturated fat.

Diet two: About half of the coconut oil was replaced with soybean oil, which contains primarily polyunsaturated fats and is a main ingredient in vegetable oil.

The researchers note that the second diet corresponded with roughly the amount of soybean oil Americans currently consume.

Diet three: Coconut oil with added fructose.

Diet four: Coconut and soybean oils, with added fructose.

All four diets contained the same number of calories and there was no significant difference in the amount of food eaten by the mice on the diets.

This allowed the researchers to study the effects of the different oils and fructose in the context of a constant caloric intake.

According to a prepared statement from the university, compared to mice on the high coconut oil diet, mice on the high soybean oil diet showed increased weight gain, larger fat deposits, a fatty liver with signs of injury, diabetes and insulin resistance, all of which are part of the Metabolic Syndrome.

Fructose in the diet had less severe metabolic effects than soybean oil although it did cause more negative effects in the kidney and a marked increase in prolapsed rectums, a symptom of inflammatory bowel disease that like obesity is on the rise.

The mice on the soybean oil-enriched diet gained almost 25 per cent more weight than the mice on the coconut oil diet and 9 per cent more weight than those on the fructose-enriched diet.

Male mice were fed three diets: Coconut oil, soybean oil and genetically modified soybean oil, engineered to be low in linoleic acid (a 2017 study found it induced less obesity and insulin resistance, but was harmful to liver function).

The scientists found that the soybeans, modified and naturally grown, had pronounced effects on the hypothalamus, which regulates body weight via your metabolism, maintains body temperature, is critical for reproduction and physical growth as well as a bodys response to stress.

The researchers determined a number of genes in mice fed soybean oil were not functioning correctly.

One such gene produces the love hormone, oxytocin. In soybean oil-fed mice, levels of oxytocin in the hypothalamus went down.

(Coconut oil, which contains saturated fats, produced very few changes in the hypothalamic genes.)

The research team discovered roughly 100 other genes also affected by the soybean oil diet.

They believe this discovery could have ramifications not just for energy metabolism, but also for proper brain function and diseases such as autism or Parkinsons disease.

They were careful to make the point that there is no proof the oil causes these diseases.

They also advised that their findings only apply to soybean oil and not to other soy products or to other vegetable oils.

Do not throw out your tofu, soy milk, edamame or soy sauce, said Dr Frances Sladek, a UCR toxicologist, professor of cell biology and corresponding author.

Many soy products only contain small amounts of the oil, and large amounts of healthful compounds such as essential fatty acids and proteins.

The research team has not yet isolated which chemicals in the oil are responsible for the changes they found in the hypothalamus a problem they intend to address in future research.

This could help design healthier dietary oils in the future, said Dr Poonam Jot Deol, an assistant project scientist in Sladeks laboratory and first author on the study.

The take away: If theres one message I want people to take away, its this: Reduce consumption of soybean oil In all likelihood its not healthy for humans.

But according to a market report, the low cost, easy availability and eco-friendly nature of soybean oil has further facilitated its use in various sectors such as food, industrial and feed.

Demand is expected to continue to grow.

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What is quantum cognition? Physics theory could predict human behavior. – Livescience.com

The same fundamental platform that allows Schrdinger's cat to be both alive and dead, and also means two particles can "speak to each other" even across a galaxy's distance, could help to explain perhaps the most mysterious phenomena: human behavior.

Quantum physics and human psychology may seem completely unrelated, but some scientists think the two fields overlap in interesting ways. Both disciplines attempt to predict how unruly systems might behave in the future. The difference is that one field aims to understand the fundamental nature of physical particles, while the other attempts to explain human nature along with its inherent fallacies.

"Cognitive scientists found that there are many 'irrational' human behaviors," Xiaochu Zhang, a biophysicist and neuroscientist at the University of Science and Technology of China in Hefei, told Live Science in an email. Classical theories of decision-making attempt to predict what choice a person will make given certain parameters, but fallible humans don't always behave as expected. Recent research suggests that these lapses in logic "can be well explained by quantum probability theory," Zhang said.

Related: Twisted Physics: 7 Mind-Blowing Findings

Zhang stands among the proponents of so-called quantum cognition. In a new study published Jan. 20 in the journal Nature Human Behavior, he and his colleagues investigated how concepts borrowed from quantum mechanics can help psychologists better predict human decision-making. While recording what decisions people made on a well-known psychology task, the team also monitored the participants' brain activity. The scans highlighted specific brain regions that may be involved in quantum-like thought processes.

The study is "the first to support the idea of quantum cognition at the neural level," Zhang said.

Cool now what does that really mean?

Quantum mechanics describes the behavior of the tiny particles that make up all matter in the universe, namely atoms and their subatomic components. One central tenet of the theory suggests a great deal of uncertainty in this world of the very small, something not seen at larger scales. For instance, in the big world, one can know where a train is on its route and how fast it's traveling, and given this data, one could predict when that train should arrive at the next station.

Now, swap out the train for an electron, and your predictive power disappears you can't know the exact location and momentum of a given electron, but you could calculate the probability that the particle may appear in a certain spot, traveling at a particular rate. In this way, you could gain a hazy idea of what the electron might be up to.

Just as uncertainty pervades the subatomic world, it also seeps into our decision-making process, whether we're debating which new series to binge-watch or casting our vote in a presidential election. Here's where quantum mechanics comes in. Unlike classical theories of decision-making, the quantum world makes room for a certain degree of uncertainty.

Related: The Funniest Theories in Physics

Classical psychology theories rest on the idea that people make decisions in order to maximize "rewards" and minimize "punishments" in other words, to ensure their actions result in more positive outcomes than negative consequences. This logic, known as "reinforcement learning," falls in line with Pavlonian conditioning, wherein people learn to predict the consequences of their actions based on past experiences, according to a 2009 report in the Journal of Mathematical Psychology.

If truly constrained by this framework, humans would consistently weigh the objective values of two options before choosing between them. But in reality, people don't always work that way; their subjective feelings about a situation undermine their ability to make objective decisions.

Consider an example:

Imagine you're placing bets on whether a tossed coin will land on heads or tails. Heads gets you $200, tails costs you $100, and you can choose to toss the coin twice. When placed in this scenario, most people choose to take the bet twice regardless of whether the initial throw results in a win or a loss, according to a study published in 1992 in the journal Cognitive Psychology. Presumably, winners bet a second time because they stand to gain money no matter what, while losers bet in attempt to recover their losses, and then some. However, if players aren't allowed to know the result of the first coin flip, they rarely make the second gamble.

When known, the first flip does not sway the choice that follows, but when unknown, it makes all the difference. This paradox does not fit within the framework of classical reinforcement learning, which predicts that the objective choice should always be the same. In contrast, quantum mechanics takes uncertainty into account and actually predicts this odd outcome.

"One could say that the 'quantum-based' model of decision-making refers essentially to the use of quantum probability in the area of cognition," Emmanuel Haven and Andrei Khrennikov, co-authors of the textbook "Quantum Social Science" (Cambridge University Press, 2013), told Live Science in an email.

Related: The 18 Biggest Unsolved Mysteries in Physics

Just as a particular electron might be here or there at a given moment, quantum mechanics assumes that the first coin toss resulted in both a win and a loss, simultaneously. (In other words, in the famous thought experiment, Schrdinger's cat is both alive and dead.) While caught in this ambiguous state, known as "superposition," an individual's final choice is unknown and unpredictable. Quantum mechanics also acknowledges that people's beliefs about the outcome of a given decision whether it will be good or bad often reflect what their final choice ends up being. In this way, people's beliefs interact, or become "entangled," with their eventual action.

Subatomic particles can likewise become entangled and influence each other's behavior even when separated by great distances. For instance, measuring the behavior of a particle located in Japan would alter the behavior of its entangled partner in the United States. In psychology, a similar analogy can be drawn between beliefs and behaviors. "It is precisely this interaction," or state of entanglement, "which influences the measurement outcome," Haven and Khrennikov said. The measurement outcome, in this case, refers to the final choice an individual makes. "This can be precisely formulated with the aid of quantum probability."

Scientists can mathematically model this entangled state of superposition in which two particles affect each other even if theyre separated by a large distance as demonstrated in a 2007 report published by the Association for the Advancement of Artificial Intelligence. And remarkably, the final formula accurately predicts the paradoxical outcome of the coin toss paradigm. "The lapse in logic can be better explained by using the quantum-based approach," Haven and Khrennikov noted.

In their new study, Zhang and his colleagues pitted two quantum-based models of decision-making against 12 classical psychology models to see which best predicted human behavior during a psychological task. The experiment, known as the Iowa Gambling Task, is designed to evaluate people's ability to learn from mistakes and adjust their decision-making strategy over time.

In the task, participants draw from four decks of cards. Each card either earns the player money or costs them money, and the object of the game is to earn as much money as possible. The catch lies in how each deck of cards is stacked. Drawing from one deck may earn a player large sums of money in the short term, but it will cost them far more cash by the end of the game. Other decks deliver smaller sums of money in the short-term, but fewer penalties overall. Through game play, winners learn to mostly draw from the "slow and steady" decks, while losers draw from the decks that earn them quick cash and steep penalties.

Historically, those with drug addictions or brain damage perform worse on the Iowa Gambling Task than healthy participants, which suggests that their condition somehow impairs decision-making abilities, as highlighted in a study published in 2014 in the journal Applied Neuropsychology: Child. This pattern held true in Zhang's experiment, which included about 60 healthy participants and 40 who were addicted to nicotine.

The two quantum models made similar predictions to the most accurate among the classical models, the authors noted. "Although the [quantum] models did not overwhelmingly outperform the [classical] ... one should be aware that the [quantum reinforcement learning] framework is still in its infancy and undoubtedly deserves additional studies," they added.

Related: 10 Things You Didn't Know About the Brain.

To bolster the value of their study, the team took brain scans of each participant as they completed the Iowa Gambling Task. In doing so, the authors attempted to peek at what was happening inside the brain as participants learned and adjusted their game-play strategy over time. Outputs generated by the quantum model predicted how this learning process would unfold, and thus, the authors theorized that hotspots of brain activity might somehow correlate with the models' predictions.

The scans did reveal a number of active brain areas in the healthy participants during game play, including activation of several large folds within the frontal lobe known to be involved in decision-making. In the smoking group, however, no hotspots of brain activity seemed tied to predictions made by the quantum model. As the model reflects participants' ability to learn from mistakes, the results may illustrate decision-making impairments in the smoking group, the authors noted.

However, "further research is warranted" to determine what these brain activity differences truly reflect in smokers and non-smokers, they added. "The coupling of the quantum-like models with neurophysiological processes in the brain ... is a very complex problem," Haven and Khrennikov said. "This study is of great importance as the first step towards its solution."

Models of classical reinforcement learning have shown "great success" in studies of emotion, psychiatric disorders, social behavior, free will and many other cognitive functions, Zhang said. "We hope that quantum reinforcement learning will also shed light on [these fields], providing unique insights."

In time, perhaps quantum mechanics will help explain pervasive flaws in human logic, as well as how that fallibility manifests at the level of individual neurons.

Originally published on Live Science.

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What is quantum cognition? Physics theory could predict human behavior. - Livescience.com

Rev. Jim Watkins and Roxie column: Preaching to the chickens – South Strand news

Roxie was hard at work on her Human Watchers Guide. She has finally taught herself to use her nose to type on the computer, but it still takes concentration and time.

Hi Roxie. You sure are pounding away. Some human behavior must have set off this flurry of activity.

Yep. Im glad that its almost time for happy hour. I need a break. Well get to the curious part of human behavior later. Right now Im describing humanity at its best. There are some good things that humans do. Dr. King is an example of that. He has often been quoted. Im including one of his quotes in my guide. We are all caught in an inescapable network of mutuality, tied into a single garment of destiny. Canines, as well as humans, understand that. We are all connected, whether we know it or not. When you think of Dr. King, what first comes to mind?

Thanks for asking Roxie. The first thing? Dr. Kings impact on those who followed him. As you know, Dr. Kings life was cut short by an assassins bullet. During his last sermon, he said that he might not get to the promised land, but the people would get there. His influence lives on and on through others, I had the honor of getting to know one of Dr. Kings recruits, Congressman John Lewis. The Congressional district where I was staff director was next tp Johns district. John is the most courageous and most humble person Ive ever known. He will let you rub his head and you can feel the bumps that are still there from the horrific beating he received as he tried to cross the Pettus bridge in Selma. Called the Conscience of Congress, he is highly regarded by both sides of the aisle. A Baptist minister, he grew up on his familys farm in Alabama. As a youngster, he would practice sermons by preaching to the chickens. Whenever I saw John I would ask him if he was still preaching to the chickens. His reply would be, Now more than ever.

Roxie, John reminds us that the celebration of Dr. Kings life begins the day after the holiday. Will we live out his call to empower the marginalized? Will we welcome the stranger? Will we elect folks to public office who understand that the most religious thing they do is pass budgets that reflect a concern for the poor.? Will we strive to live by love rather than hate?

Well said Jim. As we break for happy hour lets toast John.

Great idea Roxie and as we do, lets say a prayer for him. John is in a different kind of fight. Hes fighting cancer.

Amen, Jim.

The Rev. Dr. Jim Watkins and Roxie live in Pawleys Island.

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Rev. Jim Watkins and Roxie column: Preaching to the chickens - South Strand news

Body-on-Chip system mimics the behavior of 10 connected organs – New Atlas

The development and eventual approval of modern drugs is hugely reliant on animal models and human clinical trials, but for some time now scientists have been working on an alternative and more expedient approach. By recreating the functions of various organs on small devices known as Organ Chips or Organs-on-a-chip, researchers hope to greatly reduce the time and cost of testing new drugs for safety and efficacy. Now, scientists at Harvards Wyss Institute have pieced together 10 of them to create a functioning Body-on-Chips platform that can offer new and comprehensive insights into how prospective drugs will behave throughout the human body.

The aim of the research project was to not just recreate the complicated functions of 10 different human organs, but to connect them up via fluidic pathways to observe how the flow of simulated blood impacts the entire system. A drug may appear safe when screened in the kidneys, for example, but could create side effects in other organs. The idea with these Body-on-Chips systems is to sniff out such dangers earlier on in the testing process.

Back in 2017, we looked at a Body-on-a-Chip" system from scientists at Wake Forest Institute for Regenerative Medicine, which combined several organ models into the one system. The Wyss Institutes builds on this by offering a more complete picture, with the scientists focusing on two aspects of drug behavior in particular.

The first is known as pharmacokinetics (PK), which revers to how a drug is absorbed, distributed, metabolized and excreted by the human body, which ultimately determines the drug levels left in the blood. The other is known as pharmacodynamics (PD), which refers to the way a drug impacts its target organs, including both the mechanics of how it works and any potential side effects.

Like others weve looked at in the past, the Organ Chips making up the Body-on-Chips system are microfluidic devices around the size of a memory stick. A pair of parallel channels are separated by a porous membrane, with cells specific to the organ populating one side and vascular cells mimicking a blood vessel on the other.

These organs-on-chips are connected by vascular channels that transfer fluid between them to mimic blood flow through the human body. In this way, scientists are able to observe how drugs impact PK and PD, with the team using computational modeling to predict how they might impact the entire human body.

In this study, we serially linked the vascular channels of eight different Organ Chips, including intestine, liver, kidney, heart, lung, skin, bloodbrain barrier and brain, using a highly optimized common blood substitute, while independently perfusing the individual channels lined by organ-specific cells, says co-first author Richard Novak. The instrument maintained the viability of all tissues and their organ-specific functions for over three weeks and, importantly, it allowed us to quantitatively predict the tissue-specific distribution of a chemical across the entire system.

In one experiment, the scientists used the modular platform to connect Organ Chips simulating the gut, the liver and a kidney. Nicotine was added to gut chip to mimic oral administration of the drug, from where it was passed through the intestinal wall, through the vascular system to the liver to be metabolized, and onward to the kidney where it was excreted. An analysis using mass spectrometry followed, with the team confirming the drugs journey and its effects closely resembled that seen in actual humans.

Wyss Institute at Harvard University

The resulting calculated maximum nicotine concentrations, the time needed for nicotine to reach the different tissue compartments, and the clearance rates in the Liver Chips in our in vitro-based in silico model mirrored closely what had been measured previously in patients, says Ben Maoz, a co-first author.

In another experiment, the team observed the effects of a common chemotherapy drug called cisplatin that can cause toxicity in kidney and bone marrow. The Body-on-Chips platform again proved to be an accurate model.

Our analysis recapitulates the pharmacodynamic effects of cisplatin in patients, including a decrease in numbers of different blood cell types and an increase in markers of kidney injury, says co-first author Anna Herland.

The research was published across two studies in the journal Nature Biomedical Engineering (1, 2), and the video below offers a look at the Body-on-Chips platform in action, with an instrument called the Interrogator linking together the various Organ Chips making up the system.

Interrogator: Human Organ-on-Chips

Source: Wyss Institue

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Body-on-Chip system mimics the behavior of 10 connected organs - New Atlas

Study shows lower speed limits don’t save wildlife – Wyoming Business Report

POWELL Efforts to reduce the number of wildlife vehicle collisions by dropping speed limits arent paying off as expected, according to a new study. The problem? People arent obeying the law.

The Wyoming Department of Transportation recently started lowering speed limits in six active zones across the state. Locally, North Fork speed limits between Cody and the Shoshone National Forest were lowered from 65 mph limits during the day to 55 mph at night to protect wildlife.

But a study of similar speed limit reductions in southwest Wyoming conducted by The Nature Conservancy and sponsored by WYDOT concluded that, on average, drivers slowed down by only 3-5 mph rather than the required 15 mph. They also found no evidence that the reduced speed limit led to fewer wildlife collisions.

We recommend that reduced posted speed limit is not an effective measure to reduce wildlife vehicle collisions on high speed rural two-lane highways, concluded The Nature Conservancy scientist Corinna Riginos.

Researchers compared the number of collisions at six test sites before and after the speed limit change. They also tested for differences in vehicle speed in the reduced speed limit zones and in adjacent locations where the speed limit was not reduced.

The Nature Conservancy concluded that lowering speed limits doesnt work and the organization is now calling for expanded construction of wildlife crossing structures.

The only sure way to significantly reduce these accidents is to build over- or underpasses that allow animals to cross roads without touching the pavement, said Riginos. Changing human behavior is challenging.

The structures are pricey, but so is the cost of no action, the conservancy said in a news release.

In Wyoming, wildlife-vehicle collisions cost more than $50 million in human injury, property damage and wildlife loss every year. About 85% of wildlifevehicle collisions in the state involve mule deer, and at an average cost of $10,500 per accident (twice that if you hit an elk) the cost of this problem adds up quickly, the organization wrote.

This year, the State of Wyoming and the federal government have committed about $18 million toward building crossing structures. The Wyoming Game and Fish Commission has contributed $2.5 million, WYDOT $1 million and a U.S. Department of Transportation Better Utilizing Investments to Leverage Development (BUILD) grant kicked in $14.5 million. No structures are planned for Park County at this point.

WYDOT spokesman Cody Beers said the new speed limits have to be given time to work.

These speed limits work if you incorporate education and enforcement, he said.

As for what WYDOT has planned for the Wapiti Valley, with the known hurdles that nighttime speed limits bring, we are trying a new technology that has not been used in the mitigation of wildlife-vehicle collisions, Beers said. The animals are in the valley in high numbers from late fall through late spring, and the animals generally move out of the valley in the summer. The dead-end nature of the North Fork Highway in the winter [when Yellowstone is closed] gives us a unique opportunity to do this nighttime speed limit work [including education and enforcement] with mostly local drivers.

Beers pointed out that The Nature Conservancy didnt study the North Fork and that the area has its own unique wildlife issues.

Each wildlife collision has an impact on the animal and presents a safety issue for the motorist, he said. We are invested in finding solutions to reduce crashes to limit these impacts.

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Study shows lower speed limits don't save wildlife - Wyoming Business Report