Boston Globe reporter Hiawatha Bray features LymeAlert, a 15-minute home test kit created by alumna Erin Dawicki ‘24, that can detect Lyme disease from up to five ticks at a time. “For the people who find a tick, and it’s positive, we can give them one dose of antibiotic and have a pretty good chance of preventing the disease,” Dawicki explains.
Prof. Emery Brown speaks with Scientific American reporter Tara Haelle for Scientific American’s special “Young American Scientists” section, discussing the evolution of the field of neuroscience and why he is optimistic about the future of scientific research in the U.S. “I am optimistic because I see new and exciting findings being discovered every day,” says Brown. “With [MIT] President [Sally] Kornbluth’s support, [the university] has developed its Health and Life Sciences (HEALS) program to encourage MIT faculty to look more deeply into solving health care problems. The enthusiasm for HEALS has been contagious across the campus.”
For the Scientific American special section “The Young American Scientists,” Institute Prof. Robert Langer speaks with Megha Satyanarayana about the “spectacular” history of American innovation and education, and why he feels it’s important to celebrate scientific achievements in the same way we honor celebrities and sports stars. “I’m just a big believer in the resilience of people,” says Langer. “I look at the history of American innovation and education over the past 250 years, and it’s been spectacular. We’ve had world wars, you know, we’ve had depressions, and people keep persisting and keep learning. They keep discovering and they keep inventing.”
Visiting Scientist Alice Stanton speaks with Scientific American reporter Tanya Lewis about her work developing miBrain, a 3D model of the human aimed at helping scientists “better understand neurological diseases such as Alzheimer’s and Parkinson’s so researchers can develop personalized treatments for them.” Says Stanton of the need for stable support for scientific research: “When we have a loved one who gets sick, we want a treatment—we want something to cure them. It doesn’t come out of thin air.”
Popular Science reporter Laura Baisas showcases an ingestible, berry-size thermometer developed by MIT researchers that could offer continuous monitoring for sick patients. The sensor “could make it easier to determine whether a patient is sick and if they’re at risk of developing a dangerously high fever. It can also help for people tracking their fertility or those under anesthesia," writes Baisas. "The team is now working on combining the temperature sensor with different sensors that could measure other vital signs such as heart rate."
Nature reporter Jyoti Madhusoodanan features Prof. Regina Barzilay and Prof. James Collin’s work developing AI tools aimed at accelerating the process of drug discovery and tackling the growing problem of antibiotic resistance. Barzilay notes that the goal of AI-based drug design is not to have the perfect method, but to find working solutions to the antibiotic-resistance crisis. “To me, the art is really in taking the tools we currently have, which are already doing quite a bit, and translating them into something which is useful in clinic,” she explains.
Senior Research Scientist Leo Celi joins GBH News' Curiosity Desk for a panel discussion on how the information given to AI models can influence medical decision making and the future of the technology in medicine. “The people who are developing [AI] models—they have no clue about the data provenance [in health care], says Celi. “We are surveying AI health courses online that have their syllabi available and none of them are really contributing enough time for asking the students: do you know how the data came about?”
Writing for The Boston Globe, President Sally Kornbluth emphasizes the importance of investment in discovery science, what she calls “curiosity on a mission." Kornbluth notes: “When someone we love needs therapies that could have emerged but didn’t or when other countries now investing in science can launch new science-based industries or run their societies on vast resources of fusion energy or reap the benefits of quantum computing power or advanced medical breakthroughs, America will wish it sustained its leadership in scientific research here and now.”
7 News reporter Polikseni Manxhari spotlights Erin Dawicki Sloan Fellow MBA ’24 and her work developing LymeAlert, an at-home kit that can test ticks for Lyme disease. “We really see this as a community-based healthcare initiative where we can all contribute significant information and hopefully figure out how to stop these little buggers in their tracks,” says Dawicki.
A new at-home test developed by Erin Dawicki Sloan Fellow MBA ’24 can identify Lyme disease in a tick in just 15 minutes, Juli McDonald for CBS Boston. "Our goal is to get this into everybody's medical kits. Not everyone finds the tick, but when you do, if you can test it immediately at home and know you've been exposed," Dawicki explains.
In an article for Forbes, Senior Lecturer Guadalupe Hayes-Mota '08 MS '16, MBA '16 explores how “AI is now embedded in the critical path of drug discovery, and it is making consequential decisions at a speed and scale that existing governance structures were simply not designed to handle.” Hayes-Mota emphasizes: “The goal is to ensure that as AI accelerates the machine of drug development, we have deliberate mechanisms for human accountability threaded through every critical junction.”
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.”