Researchers at MIT have developed an artificial intelligence sensor that can track the progression of Parkinson’s disease in patients based on their breathing while they sleep, reports Conor Hale for Fierce Biotech. “The device emits radio waves and captures their reflection to read small changes in its immediate environment,” writes Hale. “It works like a radar, but in this case, the device senses the rise and fall of a person’s chest.”
MIT researchers have developed a new artificial intelligence system that uses a person’s breathing pattern to help detect Parkinson’s sisease, reports Susannah Sudborough for Boston.com. “The device emits radio signals, analyzes reflections off the surrounding environment, and monitors the person’s breathing patterns without any bodily contact,” writes Sudborough.
Researchers at MIT and other institutions have developed an artificial intelligence tool that can analyze changes in nighttime breathing to detect and track the progression of Parkinson’s disease, reports Casey Ross for STAT. “The AI was able to accurately flag Parkinson’s using one night of breathing data collected from a belt worn around the abdomen or from a passive monitoring system that tracks breathing using a low-power radio signal,” writes Ross.
Prof. Ariel Furst, and alumna Claire Beskin and Loewen Cavill were named the winners of the first annual MIT Female Founders Pitch, reports Stephanie MacConnell for Forbes. Furst’s company, Pharmor, has developed an inexpensive protective coating that allows microbes to be produced and transported in non-ideal conditions. Beskin’s company, Empallo, uses machine learning to unlock information on siloed patient data. And Cavill’s company, AuraBlue, has developed a wearable device that can predict hot flashes and enable a cooling pad to counteract the change in body temperature in menopausal women.
Loh Down on Science host Sandra Tsing Loh spotlights Prof. Cathy Wu and graduate student Vindula Jayawardana and their work developing a new method for self-driving vehicles that would help minimize idling at red lights. “In their method, self-driving can be taught to minimize stops at red lights. To make this work, traffic lights and self-driving cars would have sensors. This would let them check in with each other on their surroundings,” says Loh.
MIT scientists have discovered a new method to maximize wind farm output, reports Gwen Egan for Boston.com. “While there are pros and cons to this strategy, it’s possible that it could allow for smaller wind farms that take up less land to produce more energy,” says Prof. Michael Howland. “It’s critically important we do this now, as we embark on building much more offshore wind. We need to ensure that our future wind farms maximize efficiency to increase the pace of decarbonization.”
MIT scientists have found that changing the angle of turbine blades on wind farms could increase energy output, reports David Abel for The Boston Globe. “Given the scale of wind deployment needed to achieve state and federal climate goals, we need optimal wind farm performance to ensure efficient, rapid decarbonization,” says Prof. Michael Howland. “Our method resulted in significant energy gains over standard industry operations, and, importantly, it can be instituted with minimal cost.”
Nuclear science experts say that the potential shut down of Zaporizhzhia Nuclear Power Plant (ZNPP) in Ukraine can lead to energy implications and climate change, reports Anna Skinner for Newsweek. "The Earth is heating up, and we don't have any way to stop it right now except to stop putting more greenhouse gases into the atmosphere," says Prof. Michael Golay. "The nice thing about nuclear is it doesn't emit much in the way of greenhouse gases."
Alumna Anurupa Ganguly SB ’07, MNG ’09 speaks with Forbes contributor Rod Berger about Prisms of Reality, a virtual reality platform she founded that provides math learning through movement, experience and discovery. “We envision a dramatic re-engagement of our students with their education,” says Ganguly. “Our students, many for the first time, will find a profound sense of purpose in their math learning and their lives.”
Researcher Hojun Li and his team have developed a new Covid-19 at-home test that looks “specifically at the levels of neutralizing antibodies and either give a precise level or a ‘low,’ ‘medium,’ ‘high’ reading, providing more actionable information,” reports Karen Weintraub for USA Today.
Lita Nelsen BS ’64, MS ’66, MBA ’79 writes for The Boston Herald about the Bayh-Dole Act, a landmark piece of legislation that allows universities to keep the patents to their own inventions. “As the head of MIT’s Technology Licensing Office for almost three decades, I helped license thousands of technologies to the innovative companies that sprung up around campus,” writes Nelsen. “The Bayh-Dole Act has indisputably helped the U.S. life sciences sector become the envy of the world.”
Researchers at MIT believe they have found a new semiconductor that's better than silicon, which could open the doors to potentially faster and smaller computer chips in the future, reports Rachel Cheung for Vice. “Cubic boron arsenide has significantly higher mobility to both electronics and their positively charged counterparts than silicon, the ubiquitous semiconductor used in electronics and computers,” explains Cheung.
Professor Eric Alm speaks with Claire Ainsworth at New Scientist about studying wastewater to better understand the health, wealth and environment of various communities. “It’s not about going in and taking a measurement,” said Alm. “It’s about developing a platform that can help you reach insights about what’s going on.”
Researchers at MIT and other institutions proved “that cubic boron arsenide performs better than silicon at conducting heat and electricity,” reports Nicholas Gordon for Fortune. “The new material may help designers overcome the natural limits of current models to make better, faster, and smaller chips,” writes Gordon.
Computer science lecturer Iddo Drori and his team have developed an artificial intelligence algorithm that can solve college-level math problems at a human level, reports Susan D’Agostino for Inside Higher Ed. “The model can also explain the solutions and generate new problems that students found indistinguishable from human-generated problems,” reports D’Agostino.