Engineers have developed a low cost, low power technology to help robots accurately map their way indoors, even in poor lighting and without recognizable landmarks or features. The technology uses WiFi signals, instead of light, to help the robot 'see' where it's going.
Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no impact. But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations […]
Researchers have proposed a novel system inspired by the neuromodulation of the brain, referred to as a 'stashing system,' that requires less energy consumption. Computer scientists have now developed a technology that can efficiently handle mathematical operations for artificial intelligence by imitating the continuous changes in the topology of the neural network according to the […]
Recently developed 'smart skin' is very similar to human skin. It senses pressure, humidity and temperature simultaneously and produces electronic signals. More sensitive robots or more intelligent prostheses are thus conceivable.
Biomedical engineers have developed an artificial intelligence (AI) training strategy to capture images of mouse brain cells in action. The researchers say the AI system, in concert with specialized ultra-small microscopes, make it possible to find precisely where and when cells are activated during movement, learning and memory.
Collective behavior and swarm patterns are found everywhere in nature. Robots can also be programmed to act in swarms. Researchers have developed collectives of microrobots, which they can move in every formation they wish.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations. This could allow a human to reprogram a robot to grasp never-before-seen objects, presented in random poses, in about 15 minutes.
A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed. Swarm learning can be used to help computers predict cancer in medical images of patient tissue samples, without releasing the data from hospitals.
Using nanotechnology, scientists have created a newly designed neuromorphic electronic device that endows microrobotics with colorful vision. The newly designed artificial vision device could have far-reaching applications for the fields of medicine, artificial intelligence, and microrobotics.
With their superior properties, topological qubits could help achieve a breakthrough in the development of a quantum computer designed for universal applications. So far, no one has yet succeeded in unambiguously demonstrating a quantum bit, or qubit for short, of this kind in a lab. Scientists have now succeeded in integrating a topological insulator into […]
Roboticists and economists have developed a method for estimating the probability of jobs being automated by future intelligent robots and suggesting career transitions with lower risks and minimal retraining effort.
Medical imaging is an important part of modern healthcare, enhancing both the precision, reliability and development of treatment for various diseases. Artificial intelligence has also been widely used to further enhance the process. However, conventional medical image diagnosis employing AI algorithms require large amounts of annotations as supervision signals for model training. To acquire accurate […]
Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the sport. Drawing on recent advances in natural language processing and computer vision, their approach would completely change, and could enhance, the way the state of a game and […]
Researchers have demonstrated a more effective way to support learning and increase engagement at science-focused museum exhibits. They used artificial intelligence to create a new genre of interactive, hands-on exhibits that includes an intelligent, virtual assistant to interact with visitors. When the researchers compared their intelligent exhibit to a traditional one, they found that the […]
Artificial intelligence (AI) is at the forefront of modern technology. Making AI 'emotionally intelligent' could open doors to more natural human-machine interactions. To do this, it needs to pick up on the user's sentiment during a dialog. Physiological signals could provide a direct route to such sentiments. Now, researchers from Japan take things to the […]
Using lessons learned from the eye-imaging technology optical coherence tomography (OCT), engineers have demonstrated a LiDAR system that is fast and accurate enough to potentially improve the vision of autonomous systems such as driverless cars and robotic manufacturing plants.
In recent years, artificial intelligence has become ubiquitous, with applications such as speech interpretation, image recognition, medical diagnosis, and many more. At the same time, quantum technology has been proven capable of computational power well beyond the reach of even the world's largest supercomputer. Physicists have now demonstrated a new device, called quantum memristor, which […]
Static analyzers are tools that help you check your code without really running your code. The most basic form of static analyzers is the syntax highlighters in your favorite editors. If you need to compile your code (say, in C++), your compiler, such as LLVM, may also provide some static analyzer functions to warn you […]
There are different ways of debugging code in Python, one of which is to introduce breakpoints into the code at points where one would like to invoke a Python debugger. The statements used to enter a debugging session at different call sites depend on the version of the Python interpreter that one is working with, […]
You’ve probably heard of Kaggle data science competitions, but did you know that Kaggle has many other features that can help you with your next machine learning project? For people looking for datasets for their next machine learning project, Kaggle allows you to access public datasets by others and share your own datasets. For those […]
We write a program to solve a problem or make a tool that we can repeatedly solve a similar problem. For the latter, it is inevitable that we come back to revisit the program we wrote, or someone else is reusing the program we write. There is also a chance that we will encounter data […]
Sponsored Post In our interconnected world, a decision made thousands of miles away can have lasting consequences for entire organizations or economies. When small changes have big effects, it is unsurprising that companies and governments are turning to machine learning and AI to accurately predict risk. How the Global Community is Applying Machine Learning […]
Have you ever wanted an easy-to-configure interactive environment to run your machine learning code that came with access to GPUs for free? Google Colab is the answer you’ve been looking for. It is a convenient and easy-to-use way to run Jupyter notebooks on the cloud, and their free version comes with some limited access to […]
When you work on a computer vision project, you probably need to preprocess a lot of image data. This is time-consuming, and it would be great if you could process multiple images in parallel. Multiprocessing is the ability of a system to run multiple processors at one time. If you had a computer with a […]
Sponsored Post Search systems are in the process of being revolutionized by Deep Learning and AI applications. To successfully evaluate, build, deploy and scale information retrieval systems, engineers working with search systems must understand the frameworks and algorithms that underpin this technology. Professors Ricardo Baeza-Yates (Northeastern University) has done research on information retrieval and web […]
When we finish a Python project and roll it out for other people to use, the easiest way is to present our project as a command-line program. If you want to make it friendlier, you may want to develop a GUI for your program so people can interact with it with mouse clicks while it […]
After all the hard work developing a project in Python, we want to share our project with other people. It can be your friends or your colleagues. Maybe they are not interested in your code, but they want to run it and make some real use of it. For example, you create a regression model […]
By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at the AI World Government event held in-person and virtually […]
By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA). That’s what attendees learned in two sessions at the AI […]
By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully. That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at the AI World Government event held live and virtually in […]
By John P. Desmond, AI Trends Editor More companies are successfully exploiting predictive maintenance systems that combine AI and IoT sensors to collect data that anticipates breakdowns and recommends preventive action before break or machines fail, in a demonstration of an AI use case with proven value. This growth is reflected in optimistic market forecasts. […]
By Lance Eliot, the AI Trends Insider We already expect that humans to exhibit flashes of brilliance. It might not happen all the time, but the act itself is welcomed and not altogether disturbing when it occurs. What about when Artificial Intelligence (AI) seems to display an act of novelty? Any such instance is bound to get our attention; […]
By John P. Desmond, AI Trends Editor Engineers tend to see things in unambiguous terms, which some may call Black and White terms, such as a choice between right or wrong and good and bad. The consideration of ethics in AI is highly nuanced, with vast gray areas, making it challenging for AI software engineers to […]
By John P. Desmond, AI Trends Editor AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible. That idea set the foundation for a panel discussion at AI World […]
By John P. Desmond, AI Trends Editor Two experiences of how AI developers within the federal government are pursuing AI accountability practices were outlined at the AI World Government event held virtually and in-person this week in Alexandria, Va. Taka Ariga, chief data scientist and director at the US Government Accountability Office, described an AI accountability framework he uses within his agency […]
By AI Trends Staff Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players. The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8 billion […]
By Lance Eliot, the AI Trends Insider Are there things that we must not know? This is an age-old question. Some assert that there is the potential for knowledge that ought to not be known. In other words, there are ideas, concepts, or mental formulations that should we become aware of that knowledge it could be […]
In a new study scientists reveal yet another reason to keep up on dental hygiene. Bacteria that cause a common yet largely preventable gum infection may also play a role in Alzheimer’s disease. The discovery also offers hope for a treatment that could slow neurodegeneration.
“There were many clues in the [features of Alzheimer’s disease] that an infection is at work,” said Casey Lynch, an entrepreneur and co-founder of Cortexyme, a biotech company headquartered at the Verily Life Sciences campus in South San Francisco, who led the new research. “Many of the genetic risk factors for Alzheimer’s are related to immune system function,” she added, which suggests “immune system dysfunction might put people more at risk.”
Alzheimer’s disease, an irreversible and progressive brain disorder that leads to memory loss and diminished thinking skills, affects at least 5 million Americans. Clumps of a brain protein known as amyloidplaques are a hallmark sign of the disease. Billions of research dollars have gone towards finding a treatment that destroys these mind-robbing masses. But there’s still no cure.
“Not enough people are asking what is upstream of the plaques … and [brain] inflammation,” said Lynch, who has a background in Alzheimer’s research and was frustrated by the string of failed therapies for the disease. Nearly six years ago, Lynch received a call from Stephen Dominy, a psychiatrist at the University of California, San Francisco, who had studied the link between HIV and dementia.
“I think I’ve found a bacterial cause of Alzheimer’s,” Dominy, who co-founded Cortexyme with Lynch and now serves as the company’s Chief Scientific Officer, told her. Dominy had spent about 15 years searching for infections that might lead to Alzheimer’s until evidence for a bacterium known as P. gingivalis became “undeniable,” according to Lynch. P. gingivalis causes periodontitis, an infection that destroys the gums and can lead to tooth loss.
When the team examined the brains and cerebrospinal fluid of Alzheimer’s patients, they found DNA from the bacterium. They also discovered bacterial enzymes called gingipains that destroy brain cells were present, too. And when they watched P. gingivalis infections play out in mice, it triggered neurodegeneration in the hippocampus, a brain structure central to memory. It also led to Alzheimer’s hallmark amyloid beta plaque production and inflammation, the researchers discovered.
The scientists then designed and created a new molecule that blocks the gingipain enzymes. The antibiotic reduced the amount of bacteria in infected mice and stopped the formation of amyloid beta plaques while reducing inflammation, the team reports Wednesday in the journal Science Advances.
Bacteria in the lab of Prof. Ron Milo of the Weizmann Institute of Science have not just sworn off sugar – they have stopped eating all of their normal solid food, existing instead on carbon dioxide (CO2) from their environment. That is, they were able to build all of their biomass from air. This feat, which involved nearly a decade of rational design, genetic engineering and a sped-up version of evolution in the lab, was reported this week in Cell. The findings point to means of developing, in the future, carbon-neutral fuels.
The study began by identifying crucial genes for the process of carbon fixation – the way plants take carbon from CO2 for the purpose of turning it into such biological molecules as protein, DNA, etc. The research team added and rewired the needed genes. They found that many of the “parts” for the machinery that were already present in the bacterial genome could be used as is. They also inserted a gene that allowed the bacteria to get energy from a readily available substance called formate that can be produced directly from electricity and air and which is apt to “give up” electrons to the bacteria.
Just giving the bacteria the “means of production” was not enough, it turned out, for them to make the switch. There was still a need for another trick to get the bacteria to use this machinery properly, and this involved a delicate balancing act. Together with Roee Ben-Nissan, Yinon Bar-On and other members of Milo’s team in the Institute’s Plant and Environmental Sciences Department, Gleizer used lab evolution, as the technique is known; in essence, the bacteria were gradually weaned off the sugar they were used to eating. At each stage, cultured bacteria were given just enough sugar to keep them from complete starvation, as well as plenty of CO2 and formate. As some “learned” to develop a taste for CO2 (giving them an evolutionary edge over those that stuck to sugar), their descendants were given less and less sugar until after about a year of adapting to the new diet some of them eventually made the complete switch, living and multiplying in an environment that served up pure CO2.
The researchers believe that the bacteria’s new “health kick” could ultimately be healthy for the planet. Milo points out that today, biotech companies use cell cultures to produce commodity chemicals. Such cells – yeast or bacteria – could be induced to live on a diet of CO2 and renewable electricity, and thus be weaned from the large amounts of corn syrup they live on today. Bacteria could be further adapted so that rather than taking their energy from a substance such as formate, they might be able to get it straight up — say electrons from a solar collector – and then store that energy for later use as fuel in the form of carbon fixed in their cells. Such fuel would be carbon-neutral if the source of its carbon was atmospheric CO2.
“Our lab was the first to pursue the idea of changing the diet of a normal heterotroph (one that eats organic substances) to convert it to autotrophism (‘living on air’),” says Milo. “It sounded impossible at first, but it has taught us numerous lessons along the way, and in the end we showed it indeed can be done. Our findings are a significant milestone toward our goal of efficient, green scientific applications.”
A new study has shown how the gut microbiota of older mice can promote neural growth in young mice, leading to promising developments in future treatments. The research group, based in Nanyang Technological University (NTU) in Singapore, transferred the gut microbiota of older mice into the gut of younger mice with less developed gut fauna. This resulted in enhanced neurogenesis (neuron growth) in the brain and altered aging, suggesting that the symbiotic relationship between bacteria and their host can have significant benefits for health.
The past 20 years have seen a significant increase in the amount of research into the relationship between the host and the bacteria that live in or on it. The results of these studies have established an important role for this relationship innutrition, metabolism, and behavior. The medical community hopes that these latest results could lead to the development of food-based treatment to help slow down the aging process.
In this study, the research team attempted to uncover the functional characteristics of the gut microbiota of an aging host. The researchers transplanted gut microbiota from old or young mice into young, germ-free mouse recipients.
Using mice, the team led by Professor Sven Pettersson from the NTULee Kong Chian School of Medicine, transplanted gut microbes from old mice (24 months old) into young, germ-free mice (6 weeks old). After eight weeks, the young mice had increased intestinal growth and production of neurons in the brain, known as neurogenesis.
The team showed that the increased neurogenesis was due to an enrichment of gut microbes that produce a specific short chain fatty acid, called butyrate.
“We’ve found that microbes collected from an old mouse have the capacity to support neural growth in a younger mouse,” said Prof Pettersson. “This is a surprising and very interesting observation, especially since we can mimic the neuro-stimulatory effect by using butyrate alone.”
“These results will lead us to explore whether butyrate might support repair and rebuilding in situations like stroke, spinal damage and to attenuate accelerated ageing and cognitive decline”.
The study was published in Science Translational Medicine, and was undertaken by researchers from Singapore, UK, and Australia.
Canadian camouflage company Hyperstealth Biotechnology has patented the technology behind a material that bends light to make people and objects near invisible to the naked eye. The material, called Quantum Stealth, is currently still in the prototyping stage, but was developed by the company’s CEO Guy Cramer primarily formilitary purposes, to conceal agents and equipment such as tanks and jets in the field. As well as making objects close to invisible to the naked eye, the material also conceals them from infrared and ultraviolet imagers. Unlike traditional camouflage materials, which are limited to specific conditions such as forests or deserts, according to Cramer this “invisibility cloak” works in any environment or season, at any time of day. This is made possible through something called a lenticular lens – a corrugated sheet in which each ridge is made up of a convex – or outward-curving – lens. These are most commonly found in 3D bookmarks or collectable football cards but in this case, they are left clear rather than being printed on.
When multiple of these lenticular sheets with different lens distributions are layered in just the right way, they are able to refract light at a myriad different angles to create “dead spots“. Light is no longer able to pass through these points, hiding the subject behind them from view while the background remains unchanged.
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“It bends light like a glass of water does when a spoon or straw inside it looks bent,” Cramer said. “Except I figured out how to do it with a much smaller volume and thickness of material.”
Videos released by the company demonstrate Quantum Stealth‘s ability to work even when the material is the thickness of a sheet of paper, staying lightweight and inexpensive to produce while being substantial enough to also block thermal imagers.
There remain, however, some restrictions to the effectiveness of the material, as it requires the subject or object to stand a certain distance away in order to be concealed, and the effect might be more or less convincing when viewed from different angles.
A new cancer-detecting tool uses tiny circuits made of DNA to identify cancer cells by the molecular signatures on their surface. Duke University researchers fashioned the simple circuits from interacting strands of synthetic DNA that are tens of thousands of timesfiner than a human hair. Unlike the circuits in a computer, these circuits work by attaching to the outside of a cell and analyzing it for proteins found in greater numbers on some cell types than others. If a circuit finds its targets, it labels the cell with a tiny light-up tag. Because the devices distinguish cell types with higher specificity than previous methods, the researchers hope their work might improve diagnosis, and give cancer therapies better aim.
The cell membrane is studded with proteins that researchers can use to discriminate between tumor cells and normal cells, or among cancer cells of different types or disease stages.
Similar techniques have been used previously to detect cancer, but they’re more prone to false alarms — misidentifications that occur when mixtures of cellssport one or more of the proteins a DNA circuit is designed to screen for, but no single cell type has them all. For every cancer cell that is correctly detected using current methods, some fraction of healthy cells also get mislabeled as possibly cancerous when they’re not. Each type of cancer cell has a characteristic set of cell membrane proteins on its cell surface. To cut down on cases of mistaken identity, the Duke team designed a DNA circuit that must latch onto that specific combination of proteins on the same cell to work. As a result they’re much less likely to flag the wrong cells, Reif said.
The technology could be used as a screening tool to help rule out cancer, which could mean fewer unnecessary follow-ups, or to develop more targeted cancer treatments with fewer side effects.
About an hour or so after Tesla CEO Elon Musk revealed an absurd, futuristic, brutalist electric pickup called Cybertruck to the world, I pulled myself up into its passenger seat. A Tesla employee then took me and three others for a short joy ride down a temporarily closed-off road that lines one side of SpaceX headquarters in Hawthorne, California.
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We were riding in the midlevel, dual-motor version of the truck, which is supposed to go from 0 to 60 miles per hour in 4.5 seconds and will eventually start at $49,900. But while the prototype truck was quick, the sensation of speed was dulled by its size and (undisclosed) weight. It didn’t really provide that thrilling jolt forward that Teslas are known for.
Instead, the most stunning thing about my ride in the Cybertruck was how big and roomy it was. Say what you will about the outside of the Cybertruck, but I (and the rear-seat passengers) had more space to spread out than previously seemed possible in a vehicle of this size, almost as if Tesla had pulled off some sort of magic trick.
And that’s sort of the whole deal with the Cybertruck, as far as I could tell by the end of the night. Yeah, it looks outrageous, with a design that’s more at home on the surface of Mars than in a Walmart parking lot. But if you’re willing to accept that, the truck could be more than meets the eye when it goes into production in late 2021.
For instance, the single-motor base model of the Cybertruck will allegedly get 250 miles or more on a full battery, with a 3,500-pound payload limit and 7,500-pound towing capacity — all for basically the same price as the entry-level Model 3 and Model Y.
While the price goes up from there, so do the specs, all the way to a version with a proposed 500-plus mile range and 14,000-pound towing capacity, which is powered by the same three-motor “Plaid powertrain” the company has been testing at Laguna Seca and the Nürburgring. Musk promised the Cybertruck will crush any off-road scenario, too, thanks to adaptive air suspension and up to 16 inches of ground clearance. Tesla also showed off photos of the truck on its website with an accompanying trailer as well as camping gear, hinting at possible accessories (though, let’s see the production trucks first). There are even some table stakes features for a modern truck, like 110V and 220V outlets, and lockable storage, and some more unique touches, like an onboard air compressor.
In recent weeks, China‘s space program has made news by revealing some of its long-term ambitions for spaceflight. These include establishing an Earth-Moon space economic zone by 2050, which, if successful, could allow the country to begin to dictate the rules of behavior for future space exploration. Some have questioned whether China, which has flown six human spaceflights in the last 16 years, can really build a large low-Earth space station, send taikonauts to the Moon, return samples from Mars, and more in the coming decade or two. But what seems clear is that the country’s authoritarian government has long-term plans and is taking steps toward becoming a global leader in space exploration.
By one important metric—orbital launches—China has already reached this goal. In 2018, the country set a goal of 35 orbital launches and ended up with 39 launch attempts. That year, the United States (29 flights) and Russia (20) trailed China, according toSpace Launch Report. It marked the first time China led the world in the number of successful orbital launches. This year, China is set to pace the world again. Through Sunday, the country has launched 27 orbital missions, followed by Russia (19), and the United States (16). Although nearly a month and a half remain in this year, a maximum of six additional orbital launches are likely from the United States in 2019.
To be fair, China’s space launch program has not been without hiccups. The country’s space program is still trying to bring its large Long March 5 vehicle back into service after a catastrophic failure during just its second mission, in July 2017. And the country had three failures in 2018 and 2019, compared to just one in the United States and Russia combined.
The United States has taken a step back this year in part due to decreased activity by SpaceX. The company launched a record 21 missions last year but has so far launched 11 rockets in 2019. A flurry of missions remains possible in the next six weeks for the company, including a space station resupply mission in early December, a commercial satellite launch, and additional Starlink flights.
Another big factor has been a slow year for United Launch Alliance. The Colorado-based company has launched just two Delta IV-Medium rockets this year, one Delta IV-Heavy, and a single Atlas V mission. The company may launch Boeing’s Starliner spacecraft before the end of 2019, giving the Atlas V rocket a second launch. It is possible that Rocket Lab, which has flown its Electron rocket from New Zealand five times in 2019 and is planning at least one more mission before the end of the year, will have more launches than United Launch Alliance for the first time. Sometime next year, Rocket Lab should also begin to add to the US tally for orbital launches as it opens a new facility at Wallops Island, Virginia.
For the first time in the United States, a gene editing tool has been used to treat advanced cancer in three patients and showed promising early results in a pilot phase 1 clinical trial. So far the treatment appears safe, and more results are expected soon. To develop a safer and more effective treatment for cancer patients, scientists from the University of Pennsylvania,the Parker Institute for Cancer Immunotherapy in San Francisco and Tmunity Therapeutics, a biotech company in Philadelphia, developed an advanced version of immunotherapy. In this treatment, a patient’s own immune cells are removed from the body, trained to recognize specific cancer cells and then finally injected back into the patient where they multiply and destroy them.
Unlike chemotherapy or radiation therapy, which directly kills cancer cells, immunotherapyactivates the body’s own immune system to do the work. This team used a gene editing tool called CRISPR to alter immune cells, turning them into trained soldiers to locate and kill cancer cells. By using this technique, the team hoped to develop a more effective form of immunotherapy with minimal side effects.
Better CRISPR-based gene editors for the diagnosis and treatment of cancer and other disorders, . combining chemistry, biology and nanotechnology, are used to engineer, control and deliver gene editing tools more efficiently and precisely.
The first step in making these tumor-killing cells used in the cancer drug trial was to isolate the T-cells – a type of white blood cells that fights pathogens and cancer cells – from the blood of the cancer patients. Two patients with advanced multiple myeloma and one patient with myxoid/round cell liposarcomavwere enrolled for this study.
To arm the T-cells and bolster their tumor-fighting skillswithout harming normal cells, scientists genetically engineered the T-cells – disabling three genes and adding one gene – before returning them to the patients.
The first two of these deleted genes encode T-cell receptors, which are proteins found on the surface of the T-cells that can recognize and bind specific molecules, known as antigens, on cancer cells. When these engineered T-cells bind to these antigens, it allows them to attack and directly kill the cancer cells. But the problem is that a single T-cell can recognize multiple different antigens in the body, making them less focused on finding the cancer cells. By eliminating these two genes, the T-cells are less likely to attack the wrong target or the host, a phenomenon called autoimmunity, In addition, they disrupted a third gene, called programmed cell death protein 1, which slows down the immune response. Disabling the programmed cell death protein 1 gene improves the efficiency of T-cells.
The final step in the transformation of these cells was adding a gene which produces a new T-cell receptor that recognizes and grabs onto a specific marker on the cancer cells called NY-ESO-1. With three genes deleted and one added, the T-cells are now ready to fight cancer.
While it is well known within the medical community that there is a link between the bacteria Helicobacter pylori (H pylori) and rates of gastric cancer—commonly referred to as stomach cancer—the rates and risk among Americans has been largely understudied. Now, after analyzing records of close to 400,000 patients, researchers in the Perelman School of Medicine, University of Pennsylvania, have found that successfully eliminatingH pylori from the gastrointestinal tract led to a 75 percent reduction in the risk of gastric cancer. Researchers also found that rates of gastric cancer after detection of H pyloriinfection are higher among specific populations, suggesting that people who fall into these groups could benefit from more careful monitoring. The study is published in the journal Gastroenterology. H pylori is estimated to infect half of the world’s population, largely those in the eastern parts of the world. It can cause ulcers and other gastrointestinal issues but does not cause issues in the majority of people, and so many people are unaware they have it.
3D illustration of Helicobacter pylori, bacterium which causes gastric and duodenal ulcer
“The problem was that all research out of the U.S. used to study gastric cancer and determine American’s risk of developing it did not take into account H pylori infection, and studies worldwide have shown this infection is actually the leading risk factor for this type of cancer,” says the study’s lead author Shria Kumar, a fellow in the division of Gastroenterology.
The research team found that African American, Asian, Hispanic and Latin, American Indian, and Inuit Americans have a significantly higher risk of H pylori infection and of developing gastric cancer. Risks, when compared to the general population, are also higher among men, those who smoke, and among those whose H pyloriinfection is detected at an olderage.
Regrowing bones is no easy task, but the world’s lightest solid might make it easier to achieve. Researchers have figured out a way to use hybrid aerogels, strong but ultralightmaterials, to prompt new bone tissue to grow and replace lost or damaged tissue. Although bone cancer is a relatively rare disease (it accounts for less than 1% of all cancers), people who suffer from it often end up losing a lot of bone tissue and in extreme cases, undergo amputation. The cancerous tissue has to be cut out, taking with it a large chunk of nearby healthy tissue to make sure that the cancer does not spread. This effectively removes the cancer, but also leaves the patient with a lot less bone than they started out with.
A recent study has used hybrid aerogels to restore the lost tissue by prompting bone regeneration. Aerogels are basically a combination of solid and gas. Think Jell-O, but one where the waterhas been slowly dried out and replaced completely by air. This slow and careful removing of liquid is what allows the gel to retain its shape instead of shriveling into a hard lump. The pairing of solid and gas makes aerogels extremely light and very porous. These two qualities make them exceptionally suitable to use as scaffolds, which can be used as physical roadmaps for the developing bone to follow as it grows.
A section of bone with osteosarcoma, a type of bone cancer. This is one of the cases where lost tissue could be restored by prompting bone regeneration.
Currently, the most common methods of bone regeneration either graftnew bone on to the repair site or slowly pull two bits of bone further and further apart to allow new bone to grow in the gap. If you think that these methods sound painful, complicated, and expensive, you are right.
It turns out that bone tissue just needs a little bit of encouragement to regenerate. Most of the time, simple mechanical pressure will do the trick. The fiddly bit is getting the new bone tissue to grow in the right direction and for the right amount of time. Stop it too early and the bone will be too weak to actually serve a purpose. Let it grow too much and it will end up as painful projections. This balanced growth can be achieved by using a scaffold, which is where hybrid aerogels come in. A scaffold is a structure that is placed at the site of bone repair, where it guides the growing tissue along its destined path. A good scaffold is strong but not too stiff, lasts just long enough for fresh tissue to develop, and has a lot of pores for the growing bone to snake through. This last bit is what makes a scaffold very similar to real bone. Hybrid aerogels happen to be a magic material that hits all these notes.
There are a lot of different kinds of scaffolds to choose from, ranging from ceramic and metals to cellulose hydrogels. So what makes hybrid aerogels any better than other scaffolds? For one, they are half made of proteins (that’s the “hybrid” bit), which are eventually broken down by the body. The other half, silica, slowly melts away as orthosilicic acid, which is known to hasten wound healing. Their pore size can be controlled during the manufacturing process, making it easy to adapt them to different uses. They are also being tested as drug delivery systems, meaning that the material could be spiked with medicines or growth factors before using it as a scaffold.
Earlier this year, three research labs based out of Iran, Germany, and Austria got together and decided to fuse a very strong protein with a very light and porous aerogel. The very strong protein issilk fibroin, the stuff found in silkworm cocoons and used to make fancy fabrics. It makes the aerogel strong and just stiff enough to use for bone growth. With the raw materials ready, the scientists started with Phase I: make the hybrid aerogel. Throw a source of silica, silk fibroin, some acid and a touch of detergent into a pot. Bake for an hour and voilà! You have yourself a silica-silk fibroin hybrid aerogel.
Hybrid aerogels are strong but ultralight materials. Here, the flower is protected from the fire by the insulating properties of the aerogelThe researchers made the perfect hybrid aerogel – hydrophilic (water-loving), not too stiff, and adequately biodegradable.
Having made the material, they now moved to Phase II: check if the hybrid aerogels are in any way harmful to human cells. In fact, the cells seemed to really like the material. When the hybrid aerogel was placed in a dish containing bone cells, they readily grew on its surface, depositing the proteins and minerals required for bone growth along the way.
On to Phase III: implant the hybrid aerogel in mice and check if it stimulates bone regeneration. The researchers made small bone injuries in two groups of mice and implanted the hybrid aerogel in one of them. After 25 days, they saw that the mice with the implants showed faster and better healing than the mice without implants. The aerogel was not just allowing new bone to grow, but also making it grow faster than normal.
This ability of the hybrid aerogel to speed up bone regeneration places it on the forefront of new therapeutic technologies. Imagine having bone fractures healing in a span of days, as opposed to weeks. Or being able to tell a bone cancer patient that, “Yes, you have to cut out a section of their leg but it can be easily grown back, no worries.” Hybrid aerogels are possibly the biomaterial that could make such conversations a reality.
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