http://health.economictimes.indiatimes.com/news/industry/cycling-in-bed-may-help-patients-recover-quickly-study/56242932

Cycling in bed may help patients recover quickly: study

Researchers demonstrated that physiotherapists can safely start in-bed cycling sessions with critically ill, mechanically ventilated patients early on in their ICU stay.

Toronto, Dec 29 : Early bicycle exercise during their stay in a hospital intensive care unit (ICU) may help some patients recover more quickly, a new study has claimed.

Researchers demonstrated that physiotherapists can safely start in-bed cycling sessions with critically ill, mechanically ventilated patients early on in their ICU stay.

“People may think that ICU patients are too sick for physical activity, but we know that if patients start in-bed cycling two weeks into their ICU stay, they will walk farther at hospital discharge,” said Michelle Kho, an assistant professor at McMaster University and physiotherapist at St Joseph’s Healthcare Hamilton in Canada.

“Our TryCYCLE study builds on this previous work and finds it is safe and feasible to systematically start in-bed cycling within the first four days of mechanical ventilation and continue throughout a patient’s ICU stay,” said Kho.

Patients who survive their ICU stay are at high risk for muscle weakness and disability and muscle atrophy and weakness starts within days of a patient’s admission to the ICU.

Cycling targets the legs, especially the hip flexors, which are most vulnerable to these effects during bed rest. By strengthening their muscles and overall health, patients may go home sooner, stronger and happier.

This not only benefits the patient, but could alleviate the high cost of critical care for the health care system.

TryCYCLE is the first of a series of studies that will determine the effects of early in-bed cycling with critically ill patients.

Over a year, Kho and her team conducted a study of 33 patients in the ICU at St Joseph’s Healthcare Hamilton.

Patients were 18 years of age or older, receiving mechanical ventilation, and walking independently prior to admission to the ICU.

The treatment in the ICU was 30 minutes of supine cycling using a motorised stationary bicycle affixed to the bed, six days a week.

The researchers found that early cycling within the first four days of mechanical ventilation among patients with stable blood flow is safe and feasible. Patients started cycling within the first three days of ICU admission and cycled about 9 km on average during their ICU stay.

“Patients’ abilities to cycle during critical illness exceeded our expectations,” said Kho.

She added that more research is needed to determine if this early cycling with critically ill patients improves their physical function.

The research was published in the journal PLOS ONE. SAR SAR

http://www.therecord.com/news-story/7042212-new-devices-seek-to-solve-quest-for-good-night-s-sleep/

New devices seek to solve quest for good night’s sleep

If you are reading this at 3 a.m., chances are that James Proud wants to put you in a deep slumber.

As the inventor of the sleep-tracking device Sense, Proud has enjoyed heady success in the quickly growing sleep tech field: Sense’s 2014 Kickstarter campaign raised about $2.4 million even though the goal was only $100,000.

One of Proud’s business partners is Arianna Huffington, who stepped away from her media empire to be the queen of lifestyle wellness.

“I’m fascinated by helping people live better,” said Proud, 25, a British citizen who came to the United States via the Thiel Fellowship, which gives entrepreneurs $100,000 for skipping college. “And sleep is the foundation of everything. So it’s the best place to start.”

Insomnia and other temporary and recurring sleep disorders affect 50 million to 70 million Americans, according to the National Institutes of Health, and the effects only worsen as people grow older. Technology, while still nascent, is an alternative for those who do not want to take sleeping pills, which can be highly addictive.

Sense is the first product offered by Proud’s 50-employee company, Hello, based in San Francisco. It is sold on Amazon and will soon appear in Target and Best Buy stores. To finance Sense, Proud has raised over $40 million from backers like Allen & Co. and Temasek Holdings, owned by the Singapore government.

Like many other tech devices that monitor every twitch and turn of the human body, Sense uses sensors to collect reams of data. The information is then uploaded to a smartphone app that analyzes sleep cycles. An accelerometer about the size of a quarter attaches to a pillow and tracks tosses and turns. And a bedside hub, shaped like a ball, tracks sounds, light and temperature in a room. It glows green when sleep conditions are optimal.

“You can fall into bed drunk and it still works,” said Proud, a self-taught programmer.

Sleep technology products range from the basic app to the esoteric. The Sleep Shepherd headband, invented by a professor whose daughter had a sleep disorder, monitors brain waves while the wearer sleeps. Noise-cancelling headphones pipe in sound. Other devices also emit light, some mimicking sunsets. They join hundreds of downloadable apps, like Sleep Cycle and SleepBot, which track every sleep tic.

All are trying to solve an age-old problem with new technologies that experts say are still mostly unproven.

“Most of these apps and wearables don’t have good-quality research that shows they improve sleep,” said Dr. Neil Kline, a representative of the American Sleep Association and a sleep specialist. “It takes years to do good research. And a lot of these technologies just came out.”

Yet, experts agree that the market is huge and important. About half the U.S. population will have insomnia on any given night, Kline said.

Now, technology is being applied to difficulty in sleeping caused in an increasing number of Americans by the beeps and Day-Glo lights of tech devices.

Insomnia is also proved to cause a litany of problems, such as deadly motor vehicle accidents, heart disease and difficulty in concentrating. According to a RAND Corp. study, sleeplessness costs the economy up to $411 billion a year in lost productivity.

“A huge slice of society would be interested in this technology,” Kline said.

After his own sleepless nights, Matteo Franceschetti decided in 2014 to start his sleep tech company which he called Eight, named after the optimal hours of sleep for humans. Franceschetti, an Italian-born lawyer, attacked sleep from a different angle: by making mattresses smart.

The company invented a system that tracks time awake, breathing rate and number of tosses and turns through a mattress cover embedded with sensors. An app then “grades” users’ sleep, allowing them to adjust their sleeping habits.

“We provide insight to users,” said Franceschetti, a serial entrepreneur who started two clean-tech companies in the last several years. “It’s partly education.”

Eight, based in New York, now has 17 employees. It has raised $6.5 million so far from Y Combinator, Comcast Ventures, Azure Capital Partners and others.

“Everyone knows about nutrition and fitness,” said Paul Ferris, general partner at Azure Capital Partners. “Sleep is the third pillar.”

The rapid rise of wearable fitness trackers like Fitbit, he added, helped set up a fire hose of data that consumers could harness to track behaviour.

Early adopters like Alex Muir, a tech support analyst who works at a New York private school, are helping test these early sleep technologies. Last year, he contributed $199 to Eight’s Indiegogo campaign, and got the company’s smart cover, hub and app.

“Eight is helping me identify what’s going on with my sleep,” he said. “When it’s colder, I get a better night’s sleep, and I can see that in the app.”

Muir acknowledges that technology alone can’t solve problems with sleep.

“It can provide a baseline of information, though,” he said.

Some who study sleep, however, say sensors and technology do not necessarily solve the underlying problems of insomnia.

“Sleep sensors are feeding back inaccurate information,” said Hawley Montgomery-Downs, a sleep expert and an associate professor of psychology at West Virginia University. “They’re telling people they sleep better than they do.”

Additionally, she said, no federal regulations or standards govern the sleep tech niche.

“The industry is screaming for grown-ups to come along,” she said. “But sleep is sexy and lucrative. So people need to ask questions about empirical evidence for these apps.”

Experts add that sleep apps also collect lots of data that is not then interpreted.

“The devices can show you when you’re awake,” Kline said. “But they don’t tell you why. So the technology can’t help consumers fix all their sleep problems.”

In the sleep field, wearables may be the toughest sell.

“People don’t want to wear wearables at night because most people take technology off,” said Proud, who also tried out his product, Sense, as a wearable. “Silicon Valley is arrogant and gets it wrong sometimes.”

Barak Kassar’s experience with a wearable is a case in point. When worn at night, it gathered sleep data and sent it to an app.

But Kassar quickly found out that the data collected wasn’t useful. He learned “that I wake up in the middle of the night, which showed up on the graph on my phone,” he said. “But I already knew that.” Now he wears the modernistic-looking device as jewelry.

However, recent research does show that online cognitive behaviour therapies can help restore sleep. After Peter Hames developed insomnia, his doctor in England prescribed sleeping pills.

“Drugs have had a monopoly on evidence-based health care,” Hames said. Instead, he turned to a course in cognitive behaviour therapy developed by an expert, which cured him in six weeks.

So Hames and others founded Big Health and created Sleepio, an online sleep improvement program that uses a virtual therapist. Cognitive behaviour therapy was shown to have good results in peer-reviewed trials in Britain and elsewhere. And a report in the JAMA Psychiatry journal found that insomniacs could benefit from cognitive behaviour therapy.

So far, the company has raised $15 million from backers like Kaiser Permanente Ventures and Octopus Ventures, based in London. It has a 25-person team, including three clinical researchers. Clients include big employers like LinkedIn and Comcast, which pay for a year’s access.

“We synthesize the world’s best experts,” he said. “Other apps have been toys, not true medicine.”

New York Times

https://www.tbnewswatch.com/local-news/calorie-counts-will-appear-on-menus-498655

Calorie counts will appear on menus

Chain restaurants with more than 20 locations will have to post calorie counts next to regular menu items in 2017.

THUNDER BAY — Menus can make food look good but Ontarians will know whether franchise restaurants are serving foods that are good for you, just in time for New Year’s resolutions.

The provincial Healthy Menu Choices Act will take effect on Jan. 1, 2017, meaning restaurants with more than 20 outlets will have to list caloric intake next to all regularly-served menu items.

“This is a great tool to help consumers make informed choices,” said Thunder Bay District Health Unit registered dietitian and public health nutritionist Victoria Holla.

“It’s one tool of a lot of different tools that can help support healthy eating. Especially for families and individuals who eat out frequently, this is something that can help them make choices.”

Holla pointed out while adults can judge calories in their meals based on a 2,000 to 2,400-calorie diet, calories are not the best indicator to determine the healthiness of food. While she applauded the bill’s regulations that will make the restaurant industry more transparent, she cautioned those who eat out often to be vigilant of other indicators like sodium and fat as well. There is no easy shortcut, she said, to knowing healthy versus unhealthy calories.

“We want to make sure people are looking at more than just the caloric content of their food,” Holla said.

“For example, 100 calories from gummy bears is very different from 100 calories from an apple. There’s a lot more nutrients, vitamins, fibre in your apple. Calories is just one tool. That’s why we say it’s important you use this information in context with a lot of other things.”

http://www.eetimes.com/document.asp?doc_id=1331066

Thinnest Nanowire Self-assembles

Uses diamond with copper

LAKE WALES, Fla. — The Stanford Linear Accelerator Center (Menlo Park, Calif.) — known now as SLAC — has demonstrated what it claims are the thinnest possible nanowires — just three-atoms thin. SLAC’s process uses the smallest possible fragment of a diamond — called a diamondoid — as an insulating shell into which the copper/sulfur atoms self-assemble. The world’s smallest diamondoid — an adamantane with just a 10-atom circumference — allows a three atom conductive core to self-assemble to any length.

With carbon nanotubes poised to become the smallest possible transistors channel, it makes sense for SLAC to be working on the interconnection technology for the tiny transistors of the future. Like nanotubes, they have a long way to go before the self-assembly process is reliable and accurate enough to start fabricating trillion-transistor chips, but the potential is there.

Molecular building blocks joining the tip of a growing nanowire. Each block consists of the smallest possible bit of diamond (a  diamondoid) attached to sulfur and copper atoms (yellow and brown spheres) which autonomously self-assemble into nanowire just three atoms thin. The copper and sulfur atoms form the conductive wire in the middle, and the  diamondoids form an insulating outer shell.
(Source: SLAC National Accelerator Laboratory)

Molecular building blocks joining the tip of a growing nanowire. Each block consists of the smallest possible bit of diamond (a diamondoid) attached to sulfur and copper atoms (yellow and brown spheres) which autonomously self-assemble into nanowire just three atoms thin. The copper and sulfur atoms form the conductive wire in the middle, and the diamondoids form an insulating outer shell.
(Source: SLAC National Accelerator Laboratory)

These tiny nanowires as called hybrid metal–organic chalcogenide nanowires with solid inorganic cores having three-atom cross-sections in the peer-reviewed Nature Materials paper describing their construction.

Besides interconnections, the SLAC group is also envisioning use of their nanowires to create nano-woven fabrics that generate electricity, optoelectronic devices combining both electricity and light, and to assist in the construction of superconducting materials.

Self assembled microscopic nanowires,with the help of diamondoids, can be seen with the naked eye because the strong mutual attraction between their diamondoid shells makes them clump together by the millions. At top right, an image made with a scanning electron microscope (SEM) shows nanowire clusters magnified 10,000 times.
(Source: SEM image by Hao Yan at Stanford Institute for Materials and Energy Sciences; photo by SLAC National Accelerator Laboratory)

Self assembled microscopic nanowires,with the help of diamondoids, can be seen with the naked eye because the strong mutual attraction between their diamondoid shells makes them clump together by the millions. At top right, an image made with a scanning electron microscope (SEM) shows nanowire clusters magnified 10,000 times.
(Source: SEM image by Hao Yan at Stanford Institute for Materials and Energy Sciences; photo by SLAC National Accelerator Laboratory)

The simple “beaker” process used to form the nanowires, created by the SLAC researchers, merely involves putting the correct materials in solution with the diamondoids and within a half-hour, the nanowires begin self-assembling as long as the materials last. Since the diamondoids forming the outer shell are non-conducting, with the conducting copper/sulfur inside, the nanowires are amazingly similar to man-made wires — just millions of times smaller.

The researchers claims the copper and sulfur chalcogenide nanowire-cores exhibit good conductive properties when carrying a current. Also because of their atomic precision, they expect to discover extraordinary new properties compared to the same material made in bulk because of their tiny size.

Stanford graduate student Fei Hua Li, left, and postdoctoral researcher Hao Yan simulating the assembly of what they claim are the thinnest possible nanowires.
(Source: SLAC National Accelerator Laboratory)

Stanford graduate student Fei Hua Li, left, and postdoctoral researcher Hao Yan simulating the assembly of what they claim are the thinnest possible nanowires.
(Source: SLAC National Accelerator Laboratory)

The diamanoids they used are found naturally occurring in certain petroleum products, making the process relatively inexpensive to execute. Stanford researchers have already found other uses for the diamanoids in improving electron microscope images and in the construction of tiny electronic devices.

The researchers were led by SIMES director Thomas Devereaux who modeled the materials and verified the experimental results on SLACS Stanford Synchrotron X-ray Radiation Lightsource. Other researchers included Hao Yan, Nathan Hohman, Fei Hua Li, Chunjing Jia, Diego Solis-Ibarra, Bin Wu, Jeremy Dahl, Robert Carlson, Boryslav Tkachenko, Andrey Fokin, Peter Schreiner, Arturas Vailionis, Taeho Roy Kim, Zhi-Xun Shen & Nicholas Melosh.

Ball-and-stick models of the smallest possible, and adamantane — a tiny cage made of 10 carbon atoms with conductive cores just three atoms wide.
(Source: SLAC National Accelerator Laboratory)

Ball-and-stick models of the smallest possible, and adamantane — a tiny cage made of 10 carbon atoms with conductive cores just three atoms wide.
(Source: SLAC National Accelerator Laboratory)

Funding was provided by the Department of Energy (DoE) and the and German Research Foundation. The project was also assisted by Stanford Department of Materials Science and Engineering, Lawrence Berkeley National Laboratory, the National Autonomous University of Mexico (UNAM) and Justus-Liebig University in Germany. Parts of the research were carried out at Berkeley Lab’s Advanced Light Source (ALS) and the National Energy Research Scientific Computing Center (NERSC).

For all the details read Hybrid metal–organic chalcogenide nanowires with electrically conductive inorganic core through diamondoid-directed assembly.

It the paper’s reference see how the team has already fabricated similar nanowires using cadmium for optoelectronics applications, zinc nanowires for solar applications and piezoelectric materials for energy harvesters.

— R. Colin Johnson, Advanced Technology Editor, EE Times Circle me on Google+

http://hackaday.com/2016/12/29/improving-raspberry-pi-disk-performance/

IMPROVING RASPBERRY PI DISK PERFORMANCE

Usually, you think of solid state storage as faster than a rotating hard drive. However, in the case of the Raspberry Pi, the solid state “disk drive” is a memory card that uses a serial interface. So while a 7200 RPM SATA drive might get speeds in excess of 100MB/s, the Pi’s performance is significantly less.

[Rusher] uses the Gluster distributed file system and Docker on his Raspberry Pi. He measured write performance to be a sluggish 1MB/s (and the root file system was clocking in at just over 40MB/s).

There are an endless number of settings you could tweak, but [Rusher] heuristically picked a few he thought would have an impact. After some experimentation, he managed 5MB/s on Gluster and increased the normal file system to 46 MB/s.

There are several other settings we might have investigated related more to the actual buffering and reading of the memory card and I/O scheduling. However, [Rusher] shows you his methodology so if you want to use that as a starting point for further exploration, or you want to work with a different file system, it is still worth a look.

We tend to think of the Pi as an embedded board. But in reality, it is just another Linux platform and there’s been a lot of work done on optimizing Linux performance for different situations. We’ve looked at Docker-based clusters before, too.

 

http://www.kurzweilai.net/immune-cells-in-covering-of-brain-discovered-may-play-critical-role-in-battling-neurological-diseases

Immune cells in covering of brain discovered; may play critical role in battling neurological diseases

December 28, 2016

University of Virginia School of Medicine researchers have discovered a rare and powerful type of immune cell in the meninges (protective covering) of the brain that are activated in response to central nervous system injury — suggesting that these cells may play a critical role in battling Alzheimer’s, multiple sclerosis, meningitis, and other neurological diseases, and in supporting healthy mental functioning.

By harnessing the power of the cells, known as “type 2 innate lymphocytes” (ILC2s), doctors may be able to develop new treatments for neurological diseases, traumatic brain injury, and spinal cord injuries, as well as migraines, the researchers suggest. They also suspect the cells may be the missing link connecting the brain and the microbiota in our guts, a relationship that has been shown to be important in the development of Parkinson’s disease.

Important immune roles

ILC2 cells have previously been found in the gut, lung, and skin, the body’s barriers to disease. Their discovery by UVA researcher Jonathan Kipnis, PhD, in the meninges, the membranes surrounding the brain, comes as a surprise. They were found along the same vessels discovered by the Kipnis lab last year, which showed that the brain and the immunesystem are directly connected.

“This all comes down to immune system and brain interaction,” said Kipnis, chairman of UVA’s Department of Neuroscience. These where previously believed to be not communicating, but not only are these [immune] cells present in the areas near the brain, they are integral to its function, Kipnis said.

Immune cells play several important roles within the body, including guarding against pathogens, triggering allergic reactions, and responding to spinal cord injuries. But its their role in the gut that makes Kipnis suspect they may also be serving as a vital communicator between the brain’s immune response and our microbiomes (microbes in the body). That could be very important, because our intestinal flora is critical for maintaining our health and well being.

“These cells are potentially the mediator between the gut and the brain. They are the main responder to microbiota changes in the gut,” Kipnis said. “They may go from the gut to the brain, or they may just produce something that will impact those cells. We know the brain responds to things happening in the gut. Is it logical that these will be the cells that connect the two? Potentially.”

The findings have been published online by the Journal of Experimental Medicine. The work was supported by a National Institutes of Health grant.


Abstract of Characterization of meningeal type 2 innate lymphocytes and their response to CNS injury

The meningeal space is occupied by a diverse repertoire of immune cells. Central nervous system (CNS) injury elicits a rapid immune response that affects neuronal survival and recovery, but the role of meningeal inflammation remains poorly understood. Here, we describe type 2 innate lymphocytes (ILC2s) as a novel cell type resident in the healthy meninges that are activated after CNS injury. ILC2s are present throughout the naive mouse meninges, though are concentrated around the dural sinuses, and have a unique transcriptional profile. After spinal cord injury (SCI), meningeal ILC2s are activated in an IL-33–dependent manner, producing type 2 cytokines. Using RNAseq, we characterized the gene programs that underlie the ILC2 activation state. Finally, addition of wild-type lung-derived ILC2s into the meningeal space of IL-33R−/− animals partially improves recovery after SCI. These data characterize ILC2s as a novel meningeal cell type that responds to SCI and could lead to new therapeutic insights for neuroinflammatory conditions.

http://www.kurzweilai.net/apples-first-ai-paper-focuses-on-creating-superrealistic-image-recognition

Apple’s first AI paper focuses on creating ‘superrealistic’ image recognition

December 28, 2016

Apple’s first paper on artificial intelligence, published Dec. 22 on arXiv (open access), describes a method for improving the ability of a deep neural network to recognize images.

To train neural networks to recognize images, AI researchers have typically labeled (identified or described) each image in a dataset. For example, last year, Georgia Institute of Technology researchers developed a deep-learning method torecognize images taken at regular intervals on a person’s wearable smartphone camera.

The idea was to demonstrate that deep-learning can “understand” human behavior and the habits of a specific person, and based on that, the AI system could offer suggestions to the user.

The problem with that method is the huge amount of time required to manually label the images (40,000 in this case). So AI researchers have turned to using synthetic images (such as from a video) that are pre-labeled (in captions, for example).

Creating superrealistic image recognition

But that, in turn, also has limitations. “Synthetic data is often not realistic enough, leading the network to learn details only present in synthetic images and fail to generalize well on real images,” the authors explain.

So instead, the researchers have developed a new approach called “Simulated+Unsupervised (S+U) learning.”

The idea is to still use pre-labeled synthetic images (like the “Synthetic” image in the above illustration), but refine their realism by matching synthetic images to unlabeled real images (in this case, eyes) — thus creating a “superrealistic” image (the “Refined” image above), allowing for more accurate, faster image recognition, while preserving the labeling.

To do that, the researchers used a relatively new method (created in 2014) called Generative Adversarial Networks(GANs), which uses two neural networks that sort of compete with each other to create a series of superrealistic images.*


A visual Turing test

“To quantitatively evaluate the visual quality of the refined images, we designed a simple user study where subjects were asked to classify images as real or refined synthetic. Each subject was shown a random selection of 50 real images and 50 refined images in a random order, and was asked to label the images as either real or refined. The subjects found it very hard to tell the difference between the real images and the refined images.” — Ashish Shrivastava et al./arXiv


So will Siri develop the ability to identify that person whose name you forgot and whisper it to you in your AirPods, or automatically bring up that person’s Facebook page and latest tweet? Or is that getting too creepy?

* Simulated+Unsupervised (S+U) learning is “an interesting variant of adversarial gradient-based methods,” Jürgen Schmidhuber, Scientific Director of IDSIA (Swiss AI Lab), told KurzweilAI.

“An image synthesizer’s output is piped into a refiner net whose output is classified by an adversarial net trained to distinguish real from fake images. The refiner net tries to convince the classifier that it’s output is real, while being punished for deviating too much from the synthesizer output. Very nice and rather convincing applications!”

Schmidhuber also briefly explained his 1991 paper [1] that introduced gradient-based adversarial networks for unsupervised learning “when computers were about 100,000 times slower than today. The method was called Predictability Minimization (PM).

“An encoder network receives real vector-valued data samples (such as images) and produces codes thereof across so-called code units. A predictor network is trained to predict each code component from the remaining components. The encoder, however, is trained to maximize the same objective function minimized by the predictor.

“That is, predictor and encoder fight each other, to motivate the encoder to achieve a ‘holy grail’ of unsupervised learning, namely, a factorial code of the data, where the code components are statistically independent, which makes subsequent classification easy. One can attach an optional autoencoder to the code to reconstruct data from its code. After perfect training, one can randomly activate the code units in proportion to their mean values, to read out patterns distributed like the original training patterns, assuming the code has become factorial indeed.

“PM and Generative Adversarial Networks (GANs) may be viewed as symmetric approaches. PM is directly trying to map data to its factorial code, from which patterns can be sampled that are distributed like the original data. While GANs start with a random (usually factorial) distribution of codes, and directly learn to decode the codes into ‘good’ patterns. Both PM and GANs employ gradient-based adversarial nets that play a minimax game to achieve their goals.”

[1] J.  Schmidhuber. Learning factorial codes by predictability minimization. Technical Report CU-CS-565-91, Dept. of Comp. Sci., University of Colorado at Boulder, December 1991. Later also published in Neural Computation, 4(6):863-879, 1992. More: http://people.idsia.ch/~juergen/ica.html

http://ahmedabadmirror.indiatimes.com/others/scitech/programmable-silk-based-material-developed/articleshow/56224487.cms

PROGRAMMABLE SILK-BASED MATERIAL DEVELOPED

 

Scientists have created a novel material from silk protein that can be preprogrammed with biological, chemical or optical functions, such as mechanical components that change colour with strain, deliver drugs or respond to light. Using a water-based fabrication method based on protein self-assembly, researchers from Tufts University in the US generated three-dimensional bulk materials out of silk fibroin, the protein that gives silk its durability. They manipulated the bulk materials with water-soluble molecules to create multiple solid forms, from the nanoto the micro-scale, that have embedded, pre-designed functions.

The researchers created a surgical pin that changes colour as it nears its mechanical limits and is about to fail, functional screws that can be heated on demand in response to infrared light and a biocompatible component that enables the sustained release of bioactive agents, such as enzymes. Although more research is needed, additional applications could include new mechanical components for orthopedics that can be embedded with growth factors or enzymes, a surgical screw that changes colour as it reaches its torque limits, hardware such as nuts and bolts that sense and report on the environmental conditions of their surroundings, or household goods that can be remolded or reshaped.

Silk’s unique crystalline structure makes it one of nature’s toughest materials. Fibroin, an insoluble protein found in silk, has a remarkable ability to protect other materials while being fully biocompatible and biodegradable. “The ability to embed functional elements in biopolymers, control their self-assembly, and modify their ultimate form creates significant opportunities for bio-inspired fabrication of highperforming multifunctional materials,” said Fiorenzo G Omenetto, Professor at Tufts University’s School of Engineering.