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.
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 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.
Prof. Andrew Lo speaks with Forbes contributor Russell Flannery about his work using finance to help lower the cost of drug development for cancer treatment and therapies. “I started thinking about how we could use finance pro-actively to lower the cost of drug development, increase success rates, and make it more attractive for investors,” says Lo. “Because that's really what the issue is: you need investors to come into the space to spend their billions of dollars in order to get these drugs developed.”
CAMP4, a startup founded by Prof. Richard Young, is developing a new class of RNA-based therapies to treat genetic diseases, reports Ryan Cross for The Boston Globe. The “startup’s experimental approach will allow it to dial up the output of genes to treat genetic diseases, with an initial focus on a severe form of epilepsy and life-threatening live diseases,” writes Cross.
Wall Street Journal reporter Daniela Hernandez spotlights the work of Media Lab Research Scientist Andreas Mershin in developing sensors that can detect and analyze odors. Mershin “is focusing on medical applications of olfaction technology. Inspired by dogs that have demonstrated an ability to sniff out malignancies in humans, he’s working on an artificial-intelligence odor-detection system to detect prostate cancer.”
Prof. Jonathan Gruber speaks with Bloomberg Washington Correspondent Joe Mathieu about Affordable Care Act funding and the future of healthcare. It’s both about making these premiums more affordable for the lowest income people and giving middle-income people access to this important government program, says Gruber.
Principal Research Scientist Leo Anthony Celi oversaw a study which found that people of color were given significantly less supplemental oxygen than white people because of inaccuracies in pulse oximeter readings, reports Nancy Lapid for Reuters. “Nurses and doctors make the wrong decisions and end up giving less oxygen to people of color because they are fooled [by incorrect readings from pulse oximeters],” says Celi.
A study co-authored by MIT researchers finds that algorithms based on clinical medical notes can predict the self-identified race of a patient, reports Katie Palmer for STAT. “We’re not ready for AI — no sector really is ready for AI — until they’ve figured out that the computers are learning things that they’re not supposed to learn,” says Principal Research Scientist Leo Anthony Celi.
Rob Morris PhD ’14 has dedicated his career to easing access to mental health services online, reports Shalene Gupta for Fast Company. “When you search for a flight on Google, you get directed to these options that make you instantly buy a flight,” he says. “The interface is beautiful. But when you look up mental health, it’s not great. I want to do for mental health what Google did for flights.”