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. 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.
Soledad O’Brien spotlights how researchers from MIT and Massachusetts General Hospital developed a new artificial intelligence tool, called Sybil, that an accurately predict a patient’s risk of developing lung cancer. “Sybil predicted with 86 to 94 percent accuracy whether a patient would develop lung cancer within a year,” says O’Brien.
Researchers at MIT have developed a new nanoparticle sensor that can detect cancerous proteins through a simple urine test. “The researchers designed the tests to be done on a strip of paper, similar to the at-home COVID tests everyone became familiar with during the pandemic,” writes Lambert. “They hope to make it as affordable and accessible to as many patients as possible.”
NBC News highlights how researchers from MIT and MGH have developed a new AI tool, called Sybil, that can “accurately predict whether a person will develop lung cancer in the next year 86% to 94% of the time.” NBC News notes that according to experts, the tool "could be a leap forward in the early detection of lung cancer.”
An ingestible, pill-shaped sensor module, which can pinpoint its location as it moves through the body, has been developed by researchers at MIT and Caltech, reports Andrew Paul for Popular Science. This method “could one day offer an effective means to assess issues like constipation, gastroesophageal reflux disease, and gastroparesis,” writes Paul.
A new smart pill the size of a quarter, developed by a team of researchers from MIT, Caltech and NYU, could one day help doctors more easily identify issues in a patient’s digestive tract. “Such a device could offer an alternative to more invasive procedures in humans, such as endoscopy, that are currently used to diagnose motility disorders,” writes Nina Massey for The Independent.
Prof. Gio Traverso and his colleagues at Caltech and NYU have developed a smart ingestible sensor that may offer a less invasive way to diagnose gastrointestinal disorders. “The hope is the device will allow doctors, armed with the exact location of a GI tract disruption, to better target care — and give patients a diagnostic option they can use at home,” reports Lizzy Lawler for STAT.
Researchers from MIT and Caltech have developed a pill-shaped ingestible sensor that can be monitored as it moves through the GI tract, allowing doctors to more easily diagnose gastrointestinal disorders, reports Brian Heater for TechCrunch. “The ability to characterize motility without the need for radiation, or more invasive placement of devices, I think will lower the barrier for people to be evaluated,” says Prof. Giovanni Traverso.
Researchers at MIT and Massachusetts General Hospital have developed “Sybil” – an artificial intelligence tool that can predict the risk of a patient developing lung cancer within six years, reports Mallika Marshall for CBS Boston.
MIT researchers have developed a new AI tool called Sybil that could help predict whether a patient will get lung cancer up to six years in advance, reports Pranshu Verma for The Washington Post. “Much of the technology involves analyzing large troves of medical scans, data sets or images, then feeding them into complex artificial intelligence software,” Verma explains. “From there, computers are trained to spot images of tumors or other abnormalities.”
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.
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.”