Prof. Regina Barzilay speaks with WBUR’s Priyanka Dayal McCluskey about her work developing an AI risk detection tool that can analyze mammogram images and help predict risk of breast cancer before it happens or spreads. Barzilay, who describes the tool as a hi-tech weather forecast for breast health, notes that: “We really need to have tools that can help, rather than just staring at an image and trying to guess.”
Sybil, a new AI tool developed by researchers from MIT and Mass General Brigham Cancer Institute, “analyzes a single CT scan and generates a risk score predicting the likelihood of developing lung cancer over a period of up to six years,” reports Ivan Rodriguez for WCVB-TV. “In 2023, researchers reported that Sybil achieved an accuracy rate of 86% to 94% in distinguishing high-risk patients from low-risk patients within a year.”
Reporting for CNN, Caleb Hellerman spotlights how MIT computer scientists developed an AI program called Sybil that can “‘look’ at a single CT scan and generate a ‘risk score’ corresponding to the likelihood of the person developing cancer over any period up to six years.”
President Sally Kornbluth joined Lizzie O’Leary of Slate’s "What Next: TBD" podcast for a live discussion, during which she stressed the importance of curiosity-driven science and emphasized why basic science is critical to our nation’s future. “If you think about long pathways, like immunotherapy for cancer, that began 30-40-years ago in basic immunotherapy research,” said Kornbluth. She added: “As one of the top institutions in the world it’s part of our responsibility to articulate the importance of science.”
Chronicle reporter Jon Rineman spotlights Prof. Li-Huei Tsai’s work researching how stimulation via light and sound could one day potentially be used to help fight Alzheimer’s disease. “People who continued with this treatment, their memory capacity really has been maintained at a steady state level,” explains Tsai. “And in a couple of patients, their Alzheimer’s biomarkers actually significantly reduced.”
Researchers at MIT have developed “mini livers” that “can be injected into the body to help take over the functions of a failing liver,” reports Ian Randall for Newsweek. “If realized clinically, the development could provide a lifeline for many of the more than 10,000 Americans with chronic liver disease currently waiting for a transplant,” writes Randall.
Prof. Pat Pataranutaporn speaks with The Guardian reporter Andrew Gregory about the lack of safety warnings and disclaimers in AI overviews, specifically in AI-generated health materials. “The absence of disclaimers when users are initially served medical information creates several critical dangers,” says Pataranutaporn. “Disclaimers serve as a crucial intervention point. They disrupt this automatic trust and prompt users to engage more critically with the information they receive.”
Prof. Angela Belcher and Prof. Sangeeta Bhatia chat with Edgar B. Herwick III of GBH’s The Curiosity Desk about their efforts aimed at improving diagnostics for ovarian cancer. “We now know that ovarian cancer doesn’t originate in the ovaries. About 80% of the time, ovarian cancer starts in the fallopian tubes, but it can sit there as this precancerous lesion,” explains Belcher. “There’s new technologies that can be invented and developed to detect it much earlier, because if it’s detected earlier…there’s such an opportunity to make an impact.”
Researchers at MIT and elsewhere have developed a compact magnetic mixer to prevent clogs and uneven tissue in 3D bioprinting, reports Aamir Khollam for Interesting Engineering. The device called “MagMix,” works to “keep bio-inks uniform throughout the entire printing process,” writes Khollam.
Prof. Marzyeh Ghassemi and Monica Agrawal PhD '23 speak with Boston Globe reporter Hiawatha Bray about the risks on relying solely on AI for medical information. “What I’m really, really worried about is economically disadvantaged communities,” says Ghassemi. “You might not have access to a health care professional who you can quickly call and say, ‘Hey… Should I listen to this?’”
Reporting for FOX News, Kurt Knuttson highlights how MIT researchers have developed a new light-based scanner that can read blood sugar without a single prick. “A handheld or watch-sized glucose scanner would mark a major shift in diabetes care,” writes Knuttson. “MIT's work brings that future closer with a design that reads your chemistry through light.”
Researchers at MIT have developed a device that can measure blood glucose levels through the skin. The team used “Raman spectroscopy to measure blood glucose because of the method’s ability to identify the chemical composition of samples noninvasively,” writes Sneha Khedkar for The Scientist. “The approach involves shining monochromatic light on samples and analyzing how the light scatters.”
Researchers at MIT have developed a noninvasive, light-based blood-glucose monitoring system capable of replacing finger pricks and under-the-skin sensors used by patients with diabetes, reports Andrew Paul for Popular Science. The approach could “even fit on a device the size of a watch,” explains Paul. “Each measurement scan takes slightly more than 30 seconds to complete. The device also shows an accuracy comparable to two commercially available, wearable glucose monitors.”
Nature reporter James Mitchell Crow spotlights Prof. Leonard Guarente’s work studying the impact of calorie restriction in life expectancy. Guarente’s research points to “the importance of a set of genes and associated proteins called sirtuins.” Guarente says: “If you make them more active, you extend the lifespan.”
Prof. Linda Griffith speaks with Science Friday host Flora Lichtman about her work studying endometriosis. “I did a lot of things in the regenerative medicine space. But I had an epiphany that there’s so many chronic and inflammatory disease that we don’t know how to treat so I started building models of human organs and tissues in the lab using what we called microfluidic chips,” Griffith explains. “When I got asked about endometriosis, it was actually a perfect application for this kind of approach because we really need to study the lesions very carefully in the lab in ways that is very hard to study in patients.”