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.”
In an article for Forbes, research affiliate John Werner spotlights Prof. Dina Katabi and her work showcasing how AI can boost the capabilities of clinical data. “We are going to collect data, clinical data from patients continuously in their homes, track the symptoms, the evolution of those symptoms, and process this data with machine learning so that we can get insights before problems occur,” says Katabi.
Institute Prof. Bob Langer speaks with Curiosity podcast hosts Immad Akhynd and Raj Suri about his work in the field of biotechnology, delving into how he has co-founded 40 companies. “I wanted to get out and do some good in the world,” says Langer. “That's where patents come in and that's where companies come in. And I think the challenge of the company is very different because you have what I call a platform technology.”
Prof. Yossi Sheffi speaks with Marketplace host Meghan McCarty Carino about how AI has impacted the workplace, highlighting the wide deployment of robots in warehouses. “Instead of people running around the warehouses, the people stand and the robots run around the warehouses,” Sheffi said. “But they bring the work to the people who then put it in boxes, package them.”
Forbes reporter Stuart Anderson spotlights a number of international students who became founders of top U.S. AI companies, including MIT alumni Sébastien Boyer MS '16 and Aditya Khosla PhD '16. Boyer co-founded “FarmWise, which employs AI for precision weeding on farms,” and Khosla co-founded PathAI, a biotech startup that uses AI to “optimize the analysis of patient tissue samples and for other clinical and diagnostic purposes,” writes Anderson.
Researchers from MIT’s Plasma Science and Fusion Center and Commonwealth Fusion Systems (CFS) are using high-temperature superconducting tape as a key part of the design for their tokamak reactor, reports Tom Clynes for IEEE Spectrum. The researchers believe that “this novel approach will allow it to build a high-performance tokamak that is much smaller and less expensive than would be possible with previous approaches,” Clynes notes.
Prof. Regina Barzilay speaks with Nicole Estephan of WCVB-TV’s Chronicle about her work developing new AI systems that could be used to help diagnose breast and lung cancer before the cancers are detectable to the human eye.
Lecturer Guadalupe Hayes-Mota SB '08, MS '16, MBA '16 writes for Forbes about the ethical framework needed to mitigate risks in artificial intelligence. “[A]s we continue to unlock AI's capabilities, it is crucial to address the ethical challenges that emerge,” writes Hayes-Mota. “By establishing a comprehensive ethical framework grounded in beneficence, non-maleficence, autonomy, justice and responsibility, we can ensure that AI's deployment in life sciences aligns with humanity's best interests.”