Researchers at MIT and Dana-Farber Cancer Institute have published a paper showcasing the development of OncoNPC, an artificial intelligence model that can predict where a patient’s cancer came from in their body, reports Tony Ho Tran for The Daily Beast. This information “can help determine more effective treatment decisions for patients and caregivers,” writes Tran.
Fast Company reporter Adele Peters writes that MIT researchers have developed a new type of concrete that can store energy, potentially enabling roads to be transformed into EV chargers and home foundations into sources of energy. “All of a sudden, you have a material which can not only carry load, but it can also store energy,” says Prof. Franz-Josef Ulm.
MIT engineers have uncovered a new way of creating an energy supercapacitor by combining cement, carbon black and water that could one day be used to power homes or electric vehicles, reports Jeremy Hsu for New Scientist. “The materials are available for everyone all over the place, all over the world,” explains Prof. Franz-Josef Ulm. “Which means we don’t have the same restriction as with batteries.”
MIT researchers have discovered that when combined with water, carbon black and cement can produce a low-cost supercapacitor capable of storing electricity for later use, reports Andrew Paul for Popular Science. “With some further fine-tuning and experimentation, the team believes their enriched cement material could one day compose portions of buildings’ foundations, or even create wireless charging,” writes Paul.
Researchers at MIT have found that cement and carbon black can be combined with water to create a battery alternative, reports Robert Service for Science. Professor Franz-Josef Ulm and his colleagues “mixed a small percent of carbon black with cement powder and added water,” explains Service. “The water readily combines with the cement. But because the particles of carbon black repel water, they tend to clump together, forming long interconnected tendrils within the hardening cement that act like a network of wires.”
Prof. Lonnie Petersen speaks with Boston Globe reporter Kay Lazar about the need to prepare doctors to provide medical care in space. “As we have more commercial space flight, we will have a different composition of crew members, we will see more preexisting conditions, the age range will expand, and obviously the way we do medicine is evolving,” Petersen said.
At CSAIL’s Imagination in Action event, CSAIL research affiliate and MIT Corporation life member emeritus Bob Metcalfe '69 showcased how the many individual bits of innovation that emerged from the Telnet Protocol later become the foundation for email, writes Prof. Daniela Rus, director of CSAIL, for Forbes. “Looking ahead to the future of connectivity, Metcalfe spoke of the challenges of limited network bandwidth, and the importance of keeping connectivity firmly in mind when developing any new computing technologies,” writes Rus.
MIT researchers at MIT have developed a microfluidic chip-based model of liver tissue that “allows researchers to understand the biological mechanisms underlying liver tissue regeneration and points to several molecules that may promote the process,” reports William A. Haseltine for Forbes. "These results mark significant progress in our understanding of the human body’s regenerative properties," writes Haseltine.
Researchers at MIT have developed a mobile vaccine printer capable of printing a vaccine onto a patch of microneedles that can be absorbed into the skin without injection, reports Sandra Tsing for NPR. “These printed vaccines could be used in areas that are unable to refrigerate traditional vaccines,” explains Tsing.
Prof. Daniela Rus, director of CSAIL, writes for Forbes about Prof. Dina Katabi’s work using insights from wireless systems to help glean information about patient health. “Incorporating continuous time data collection in healthcare using ambient WiFi detectable by machine learning promises an era where early and accurate diagnosis becomes the norm rather than the exception,” writes Rus.
Researchers from MIT and Massachusetts General Hospital have developed “Sybil,” an AI tool that can detect the risk of a patient developing lung cancer within six years, reports Mary Kekatos for ABC News. “Sybil was trained on low-dose chest computer tomography scans, which is recommended for those between ages 50 and 80 who either have a significant history of smoking or currently smoke,” explains Kekatos.
Prof. Daniela Rus, director of CSAIL, emphasizes the central role universities play in fostering innovation and the importance of ensuring universities have the computing resources necessary to help tackle major global challenges. Rus writes, “academia needs a large-scale research cloud that allows researchers to efficiently share resources” to address hot-button issues like generative AI. “It would provide an integrated platform for large-scale data management, encourage collaborative studies across research organizations, and offer access to cutting-edge technologies, while ensuring cost efficiency,” Rus explains.
Writing for Forbes, research affiliate John Werner spotlights Prof. Stefanie Mueller’s presentation at the CSAIL Imagination in Action event on her work developing a new type of paint that allows users to change the color and pattern of different objects. “The long-term vision here, really, is to give those physical objects the same capabilities as we have in digital,” said Mueller. “I hope in the future we will all get some free stuff, and we would just have an [app] where we can download different textures we can apply, and change our outfits.”
In this video for Wired, Prof. Anne White explains the nature of nuclear fusion in five levels of increasing difficulty to a child, a teen, a college student, a grad student, and an expert. “Fusion is so exciting because it is extraordinarily beautiful physics, which underpins some of the most basic processes in our universe," says White. “Nuclear processes have a tremendously valuable application for humankind, a virtually limitless, clean, safe, carbon-free form of energy.”
During her talk at CSAIL’s Imagination in Action event, Prof. Daniela Rus, director of CSAIL, explored the promise of using liquid neural networks “to solve some of AI’s notorious complexity problems,” writes research affiliate John Werner for Forbes. “Liquid networks are a new model for machine learning,” said Rus. “They're compact, interpretable and causal. And they have shown great promise in generalization under heavy distribution shifts.”