Boston Globe reporter Hiawatha Bray speaks with Radio Boston host Tiziana Dearing about how MIT researchers developed an artificial intelligence model that uses a person’s breathing patterns to detect Parkinson’s Disease. The researchers “hope to continue doing this for other diseases like Alzheimer’s and potentially other neurological diseases,” says Bray.
Researchers at MIT have discovered that pictures of food appear to stimulate strong reactions among specific sets of neurons in the human brain, a trait that could have evolved due to the importance of food for humans, reports Sascha Pare for The Guardian. “The researchers posit these neurons have gone undetected because they are spread across the other specialized cluster for faces, places, bodies and words, rather than concentrated in one region,” writes Pare.
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.
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.
Researchers at MIT have found that “for every nine adults who gained access to Medicaid in Oregon due to a special due to a special enrollment lottery, one previously eligible child was added to the rolls as well,” reports Dennis Thompson for U.S. News & World Report. The lottery “enabled us to look at the questions of what happens to children of adults who win the lottery, compared to children of adults who don’t win the lottery,” says Prof. Amy Finkelstein.
Reuters reporter Nancy Lapid writes that MIT researchers have developed an at-home test that can measure a person’s antibody levels to the virus that causes Covid-19. The test could someday “help people know how protected they are against infection and what kinds of precautions they need to take,” writes Lapid.
Hojun Li, a clinical investigator at the Koch Institute, speaks with Juli McDonald on CBS Boston about his efforts to develop a test that can determine a person’s Covid immunity. “We wanted to develop a way in which we could very quickly and easily assess whether [immunocompromised people] were still protected from that vaccine or that previous infection they had,” said Li.
Daily Beast reporter Tony Ho Tran writes that a new paper test developed by MIT researchers could be used to help determine a person’s immune response to Covid-19. “The researchers believe that the new test can not only help folks find out if they should get boosted,” writes Tran, “but also help the most vulnerable populations make sure they’re protected against the coronavirus, and help people make more informed decisions on what kinds of activities they should feel safe doing.”
Boston.com reporter Madeleine Aitken writes that MIT researchers have created a new blood test that can measure immune protection against Covid-19. The new test measures the “level of neutralizing antibodies in a blood sample, using the same type of ‘lateral flow’ technology as antigen tests,” writes Aitken.
Boston Herald reporter Rick Sobey writes that MIT researchers have developed a blood test that can predict Covid-19 immunity. “The MIT researchers created a paper test that measures the level of neutralizing antibodies in a blood sample, which could help people decide what protections they should take against infection,” writes Sobey. “Their test uses the same type of 'lateral flow' technology as most rapid antigen tests for Covid.”
STAT reporter Edward Chen spotlights how MIT researchers developed a new ultrasound adhesive that can stick to skin for up to 48 hours, allowing for continuous monitoring of internal organs. “It’s a very impressive new frontier about how we can use ultrasound imaging continuously to assess multiple organs, organ systems,” said Eric Topol, the founder and director of the Scripps Research Translational Institute. “48 hours of continuous imaging, you’d have to lock somebody up in a hospital, put transducers on them. This is amazing, from that respect.”
MIT researchers have developed an adhesive ultrasound patch that can continuously image the inner workings of the body for up to 48 hours, reports Sarah Kuta for Smithsonian Magazine. ““We believe we’ve opened a new era of wearable imaging,” says Prof. Xuanhe Zhao. “With a few patches on your body, you could see your internal organs.”
MIT engineers have created a bioadhesive ultrasound device that can be adhered to a patient’s skin and record high-res videos of internal organs for up to two days, reports Sophie Bushwick for Scientific American. “The beauty of this is, suddenly, you can adhere this ultrasound probe, this thin ultrasound speaker, to the body over 48 hours,” says Zhao. “This can potentially change the paradigm of medical imaging by empowering long-term continuous imaging, and it can change the paradigm of the field of wearable devices.”