After undergoing surgery to remove diseased sections of the colon, up to 30% of patients experience leakage from their sutures, which can cause life-threatening complications. Many efforts are under way to create new tissue glues that can help seal surgical incisions and prevent such complications; now, a new study reveals that the effectiveness of such glues hinges on the state of the tissue in which they are being used.
Research combining experimental work and detailed molecular simulations has revealed, for the...
Optimization algorithms are everywhere in engineering. Among other things, they’re used to...
Patients with sickle cell disease often suffer from painful attacks known as vaso-occlusive crises, during which their sickle-shaped blood cells get stuck in tiny capillaries, depriving tissues of needed oxygen. Blood transfusions can sometimes prevent such attacks, but there are currently no good ways to predict when a vaso-occlusive crisis, which can last for several days, is imminent.
The human brain’s complexity makes it extremely challenging to study; not only because of its sheer size, but also because of the variety of signaling methods it uses simultaneously. Conventional neural probes are designed to record a single type of signaling, limiting the information that can be derived from the brain at any point in time. Now researchers at Massachusetts Institute of Technology may have found a way to change that.
A new study from Massachusetts Institute of Technology reveals one reason why people who suffer from chronic inflammatory diseases such as colitis have a higher risk of mutations that cause cancer. The researchers also found that exposure to DNA-damaging chemicals after a bout of inflammation boosts these mutations even more, further increasing cancer risk.
Imagine that you could tell your phone that you want to drive from your house in Boston to a hotel in upstate New York, that you want to stop for lunch at an Applebee’s at about 12:30, and that you don’t want the trip to take more than four hours. Then imagine that your phone tells you that you have only a 66% chance of meeting those criteria.
Beginning with the invention of the first microscope in the late 1500s, scientists have been trying to peer into preserved cells and tissues with ever-greater magnification. The latest generation of so-called “super-resolution” microscopes can see inside cells with resolution better than 250 nm.
Meteors that have crashed to Earth have long been regarded as relics of the early solar system. These craggy chunks of metal and rock are studded with chondrules, tiny, glassy, spherical grains that were once molten droplets. Scientists have thought that chondrules represent early kernels of terrestrial planets.
Sometimes the response to the outbreak of a disease can make things worse. The ability to anticipate when such overreactions might occur could help public health officials take steps to limit the dangers. Now a new computer model could provide a way of making such forecasts, based on a combination of data collected from hospitals, social media and other sources.
Ever notice an earthy smell in the air after a light rain? Now scientists believe they may have identified the mechanism that releases this aroma, as well as other aerosols, into the environment. Using high-speed cameras, the researchers observed that when a raindrop hits a porous surface, it traps tiny air bubbles at the point of contact.
The immune system is a complex network of many different cells working together to defend against invaders. Successfully fighting off an infection depends on the interactions between these cells. A new device developed by Massachusetts Institute of Technology engineers offers a much more detailed picture of that cellular communication.
For household robots ever to be practical, they’ll need to be able to recognize the objects they’re supposed to manipulate. But while object recognition is a highly studied topic in artificial intelligence, even the best object detectors still fail much of the time. Researchers at MIT believe that household robots should take advantage of their mobility and their relatively static environments to make object recognition easier.
A team of researchers has built an array of light detectors sensitive enough to register the arrival of individual light particles, or photons, and mounted them on a silicon optical chip. Such arrays are crucial components of devices that use photons to perform quantum computations.
In 2007, Google unleashed a fleet of cars with roof-mounted cameras to provide street-level images of roads around the world. Now Massachusetts Institute of Technology spinout Essess is bringing similar “drive-by” innovations to energy efficiency in homes and businesses.
Lead sulfide nanocrystals suitable for solar cells have a nearly one-to-one ratio of lead to sulfur atoms, but Massachusetts Institute of Technology (MIT) researchers discovered that to make uniformly sized quantum dots, a higher ratio of lead to sulfur precursors—24 to 1—is better.
Researchers at MIT who succeeded last year in creating a material that could trap light and stop it in its tracks have now developed a more fundamental understanding of the process.
For decades, neuroscientists have been trying to design computer networks that can mimic visual skills such as recognizing objects, which the human brain does very accurately and quickly.
Today’s 3-D printers, in which devices rather like inkjet-printer nozzles deposit materials in layers to build up physical objects, are a great tool for designers building prototypes or small companies with limited product runs.
The bionic age is no longer the workings of a far-fetched sci-fi movie; it’s here, now. We have experienced the first bionic eye and limbs. These technologies merge human capabilities with machines. They transform how we live, and who we are. They are improving quality of life. And there’s perhaps no greater example than R&D Magazine’s Innovator of the Year Prof. Hugh Herr.
Nearly 2,000 planets beyond our solar system have been identified to date. Whether any of these exoplanets are hospitable to life depends on a number of criteria. Among these, scientists have thought, is a planet’s obliquity—the angle of its axis relative to its orbit around a star.
Massachusetts Institute of Technology researchers have discovered a new mathematical relationship—between material thickness, temperature and electrical resistance—that appears to hold in all superconductors. The result could shed light on the nature of superconductivity and could also lead to better-engineered superconducting circuits for applications like quantum computing and ultra-low-power computing.
A new study from Massachusetts Institute of Technology implicates a family of RNA-binding proteins in the regulation of cancer, particularly in a subtype of breast cancer. These proteins, known as Musashi proteins, can force cells into a state associated with increased proliferation.
New findings could provide a pathway toward a kind of 2-D microchip that would make use of a characteristic of electrons other than their electrical charge, as in conventional electronics. The new approach is dubbed “valleytronics,” because it makes use of properties of an electron that can be depicted as a pair of deep valleys on a graph of their traits.
Using a gene-editing system originally developed to delete specific genes, MIT researchers have now shown that they can reliably turn on any gene of their choosing in living cells.
Massachusetts Institute of Technology chemists have devised a new way to wirelessly detect hazardous gases and environmental pollutants, using a simple sensor that can be read by a smartphone. These inexpensive sensors could be widely deployed, making it easier to monitor public spaces or detect food spoilage in warehouses.
Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a few examples. In a recent paper, Massachusetts Institute of Technology researchers present a new system that bridges these two ways of processing information, so that humans and computers can collaborate to make better decisions.
Noise, excessive vibration and relative inefficiency are drawbacks of the piston-based internal combustion engines (ICE) that power today’s lawn and garden equipment, such as leaf blowers and lawn trimmers. But now Massachusetts Institute of Technology startup LiquidPiston has developed a rotary ICE that it says is significantly smaller, lighter and quieter, as well as 20% more fuel-efficient than the ICEs used in small-engine devices.
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