Prof. Richard Hynes is one of three honorees for the Albert Lasker Basic Medical Research Award, reports Maddie Burakoff for the AP. Hynes and his fellow awardees “helped launch the field of integrin research, which has since led to new strategies for treating diseases,” writes Burakoff.
Prof. Richard Hynes is one of the three recipients of the 2022 Albert Lasker Basic Medical Research Award for his contributions to the field of integrin research, reports Martin Finucane for The Boston Globe. Hynes and his colleagues “provided a greater understanding of the diseases that can result when integrin function is perturbed.”
MIT researchers have developed a new in-home device that can help monitor Parkinson’s patients by tracking their gait, reports Hiawatha Bray for The Boston Globe. “We know very little about the brain and its diseases,” says Professor Dina Katabi. “My goal is to develop non-invasive tools that provide new insights about the functioning of the brain and its diseases.”
Popular Science reporter Philip Kiefer writes that MIT researchers have developed an in-home device that could be used to track the progression of symptoms in Parkinson’s patients. “We can’t really ask patients to come to the clinic every day or every week,” explains graduate student Yingcheng Liu. “This technology gives us the possibility to continuously monitor patients, and provide more objective assessments.”
Graduate student Evan Soltas and Gopi Shah Goda, deputy director of Stanford’s Institute for Economic Policy Research, explore the impact that Covid-19 has had on the workforce, reports Sarah Todd for Quartz. “People ages 65 and up are more likely to leave the workforce after contracting Covid compared to younger people,” say Soltas and Goda.
A study by graduate student Evan Soltas and Gopi Shah Goda, deputy director of Stanford’s Institute for Economic Policy Research, underlines the pandemic’s impact on labor supply in the United States, reports Richard Luscombe for The Guardian. “Our estimates suggest Covid-19 illnesses have reduced the US labor force by approximately 500,000 people,” say Soltas and Goda.
A study by graduate student Evan Soltas and Gopi Shah Goda, deputy director of Stanford’s Institute for Economic Policy Research, explores the economic toll of Covid-19, including acute illness and long Covid, reports Erin Prater for Fortune. The paper “also looks at the impact of other Covid-related medical consequences like organ damage, mental health issues, new kidney and heart problems, and the worsening of preexisting illness, in addition to the phenomenon of Covid forcing older workers into early retirement,” explains Prater.
Washington Post reporter Pranshu Verma writes about how Prof. Dina Katabi and her colleagues developed a new AI tool that could be used to help detect early signs of Parkinson’s by analyzing a patient’s breathing patterns. For diseases like Parkinson’s “one of the biggest challenges is that we need to get to [it] very early on, before the damage has mostly happened in the brain,” said Katabi. “So being able to detect Parkinson’s early is essential.”
Doctoral research specialist Morteza Sarmadi speaks with Emily Henderson from News Medical Life Sciences about his work with Prof. Robert Langer and research scientist Ana Jaklenec in developing microparticles that are able to deliver self-boosting vaccines. “We believe this technique can significantly reduce the need to visit a healthcare provider to receive booster shots, a major challenge in remote areas without sophisticated healthcare resources,” says Sarmadi.
Forbes contributor Jennifer Kite-Powell spotlights how MIT researchers created a new AI system that analyzes radio waves bouncing off a person while they sleep to monitor breathing patterns and help identify Parkinson’s disease. “The device can also measure how bad the disease has become and could be used to track Parkinson's progression over time,” writes Kite-Powell.
A new tool for diagnosing Parkinson’s disease developed by MIT researchers uses an AI system to monitor a person’s breathing patterns during sleep, reports Hiawatha Bray for The Boston Globe. “The system is capable of detecting the chest movements of a sleeping person, even if they’re under a blanket or lying on their side,” writes Bray. “It uses software to filter out all other extraneous information, until only the breathing data remains. Using it for just one night provides enough data for a diagnosis.”
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 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.