Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a deep learning model that could predict whether a woman might develop breast cancer. The system “could accurately predict about 31% of all cancer patients in a high-risk category,” Grothaus explains, which is “significantly better than traditional ways of predicting breast cancer risks.”
WCVB-TV’s Jennifer Eagan reports that researchers from MIT and MGH have developed a deep learning model that can predict a patient’s risk of developing breast cancer in the future from a mammogram image. Prof. Regina Barzilay explains that the model “can look at lots of pixels and variations of the pixels and capture very subtle patterns.”
HealthDay News reporter Amy Norton writes that MIT researchers have developed an AI system that can help predict a woman’s risk of developing breast cancer and provide more personalized care. “If you know a woman is at high risk, maybe she can be screened more frequently, or be screened using MRI,” explains graduate student Adam Yala.
In an article for The Wall Street Journal, senior lecturer Robert Pozen argues that a new Medicare for All proposal “differs from Medicare in fundamental ways—with much broader coverage, no cost sharing, and fewer choices of health-care plans.”
Prof. Regina Barzilay speaks with NPR reporter Richard Harris about her work developing AI systems aimed at improving identification of breast cancer in mammograms, inspired by her experience with the disease. “At every point of my treatment, there would be some point of uncertainty, and I would say, 'Gosh, I wish we had the technology to solve it,’” says Barzilay.
Axios reporter Kaveh Waddell writes about a new study by MIT researchers that examines the potential impact of adversarial attacks on health care systems. “If someone sending in data for analysis has a different goal than the owner of the system doing the analysis, there's a potential for funny business,” Waddell explains.
MIT researchers have found that some inactive ingredients in medications could play a role in triggering irritation or allergic reactions, reports Bob McDonald for CBC Radio. The researchers hope that, “pharmaceutical companies provide more information to doctors, and that alternative drug formulas can be developed for people with allergies or sensitivities.”
Prof. Giovanni Traverso speaks with STAT reporter Shraddha Chakradhar about a study examining how the inactive substances in most medications could trigger a patient’s allergies and intolerances. “As you start taking more and more tablets, then you are also taking more and more of some of these ingredients,” says Traverso. “We want to raise awareness that these ingredients are there.”
NBC News reporter Linda Caroll writes about a new study by MIT researchers showing that inactive ingredients in medications could lead to adverse reactions in some patients. The researchers found that some of the inactive ingredients “can worsen symptoms in people with conditions such as irritable bowel syndrome, or IBS.”
Gizmodo reporter Ed Cara writes about a study by MIT researchers have finds “inactive” ingredients in pills could trigger a patient’s allergies or intolerances. “We’re not saying that everyone should stop taking these medications,” explains Prof. Giovanni Traverso. “But people with an allergy or intolerance should definitely have the opportunity to find out if they have to worry about certain medications.”
MIT researchers have found that many pills contain “inactive” ingredients that could be troublesome for patients, reports Richard Harris for NPR. Prof. Giovanni Traverso explains that if a patient with lactose intolerance takes a pill containing lactose, “it's probably not going to manifest in any significant symptoms. But as the number of pills you're taking [increases], then certainly you might cross that threshold."
AP reporter Lauran Neergaard writes that a new study by MIT researchers finds that pills often contain “inactive” ingredients capable of causing allergic or gastrointestinal reactions. The researchers found that “it’s hard for those patients, or even their doctors, to tell if a pill contains an extra ingredient they should avoid,” Neergaard explains.
Profs. Regina Barzilay and Dina Katabi discuss how AI could transform the field of medicine in a special episode of CNBC’s Squawk Box, broadcast live from MIT’s celebration for the new MIT Schwarzman College of Computing. Barzilay explains that her goal is “to teach machines to do stuff that humans cannot do, for instance predict who is going to get cancer within two years.”
New York Times reporter Steve Lohr writes about the MIT AI Policy Conference, which examined how society, industry and governments should manage the policy questions surrounding the evolution of AI technologies. “If you want people to trust this stuff, government has to play a role,” says CSAIL principal research scientist Daniel Weitzner.
Wall Street Journal reporter Brian Gormley speaks with Dr. Leo Anthony Celi, a principal researcher scientist at IMES, who encourages hospitals to share electronic medical data on intensive care patients. “De-identified data from 60,000 such cases now are freely available in a database called Medical Information Mart for Intensive Care,” writes Gormley of Celi’s work. “Scientists regularly publish papers based on this repository.”