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.”
Prof. Marzyeh Ghassemi speaks with Mark Herz, host of GBH Morning Edition, about the potential benefits and issues associated with using AI in medicine. “Where I really see a lot of fantastic opportunity is identifying spaces where humans don’t have a fundamental capacity, like early breast cancer detection where it’s a sub-clinical presentation,” says Ghassemi. “These are spaces where humans cannot do or have been proven not to be good at a very specific clinical task. And there, AI can really help close the gap.”
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. Robert Langer, Prof. Giovanni Traverso and former postdoctoral fellow Thomas von Erlach founded Vivtex, a biotechnology startup that has “created a high-tech system called a ‘GI tract on a chip’ that uses robotics and AI to test how drugs move through the human digestive system,” reports Beth Treffeisen for Boston.com. “The technology allows Vivtex to quickly test thousands of drug formulations and predict how they will be absorbed in people, much more accurately than traditional lab methods.”
Profs. Robert Langer, Giovanni Traverso and former postdoctoral fellow Thomas von Erlach have founded Vivtex, a biotechnology startup specializing in “oral alternatives to drugs administered by injections,” reports Jonathan Satlzman for The Boston Globe. Vivtex, now working in collaboration with Novo Nordisk, is looking to develop a new class of “pills to treat obesity and diabetes,” explains Saltzman.
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.”
A new study by researchers at MIT and elsewhere has found a correlation between addiction and eye care, reports Hadley Barndollar for MassLive. “The study found nearly half of the patients with opioid use disorder being treated for the eye infection were eligible to initiate medication-assisted treatment,” explains Barndollar. “But medications were only initiated when an addiction consult occurred, highlighting how much more eye doctors responding to emergency rooms can offer patients beyond vision care.”
Senior Research Scientist Leo Anthony Celi speaks with New York Times reporter Gina Kolata about the use of AI in health care. “The real concern isn’t AI itself,” says Celi. “It’s the AI is being deployed to optimize a profoundly broken system rather than to reimagine it.”
Researchers at MIT have developed a wearable breast cancer ultrasound device that could be used to detect breast cancer earlier, reports Amerigo Allegretto for AuntMinnie.com. “The device can image as deep as 15 cm into breast tissue and can image the entire breast from two or three locations,” explains Allegretto. “The team described the technology as an end-to-end system ultrasound architecture consisting of a novel sparse array geometry and a codesigned data acquisition system.”
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?’”
Prof. Giovanni Traverso and his colleagues developed a new technique that could one day be used to help protect cancer patients from the side effects of radiation therapy, reports Elie Dolgin for Science. The researchers found that providing brief pulses of a protein called “damage suppressor,” or Dsup could “shield injected tissues from radiation. They also found no evidence of acute toxicity with repeat doses, which bodes well for short-term use in clinical settings—for example, to protect nearby tissues during radiation treatment for a cancer,” Dolgin explains.
MIT researchers have developed a new smart pill that could be used to help doctors track treatment more accurately, and ensure patients stay on their medication schedule, reports Kurt Knutsson for Fox News. “If you or a loved one relies on critical medication, this kind of technology could add an extra layer of safety,” Knuttson explains. “It may reduce guesswork for doctors and ease pressure on patients who manage complex treatment plans.”
Forbes reporter Craig Smith spotlights Prof. Regina Barzilay for her work using her personal health experience to develop transformative medical technology. In response to her breast cancer diagnosis, Barzilay “developed a deep learning model that analyzes mammography images to predict breast cancer risk up to five years in advance,” writes Smith.
In an effort to help medical professionals ensure patients are taking medications as prescribed, researchers at MIT have developed a “drug capsule containing an RFID tag that uses radiofrequency (RF) signals to communicate that it has been swallowed, and then bioresorbs into the body,” reports Tami Freeman for Physics World. “Medication non-adherence remains a major cause of preventable morbidity and cost, but existing ingestible tracking systems rely on non-degradable electronics,” explains Prof. Giovanni Traverso. Our motivation was to create a passive, battery-free adherence sensor that confirms ingestion while fully biodegrading, avoiding long-term safety and environmental concerns associated with persistent electronic devices.”