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.”
CBS Boston reporter Dr. Mallika Marshall spotlights research by researchers at MIT and Brigham and Women’s Hospital to develop robotic prosthetic limbs controlled by the brain. “It’s a wonderful experience as a researcher,” explains Herr of the work’s impact. “They walk away and start crying or laughing and giggling and say, ‘my gosh I have my body back, I have leg back, I have my life back.’”
In an article for The Boston Globe, Prof. Jonathan Gruber argues that a recent ruling by a federal judge in Texas that the Affordable Care Acts is unconstitutional puts the health of people around the country at risk and threatens our democracy. “If the courts overturn this outcome, it is an attack on the very process of representative government in the US,” writes Gruber.
In an article for The Wall Street Journal, Benjamin Powers highlights Affectiva and Koko, two MIT startups developing AI systems that respond to human emotions.
Boston Globe reporter Jessie Scanlon spotlights Prof. Regina Barzilay’s work developing machine learning systems that can identify patients at risk of developing breast cancer. Barzilay is creating “software that aims to teach a computer to analyze mammogram images more effectively than the human eye can and to catch signs of cancer in its earliest phases.”
Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.
Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
Forbes contributor Howard Gleckman highlights a study by Prof. Amy Finkelstein that shows only five percent of Medicare spending goes toward end-of-life costs. Gleckman writes that the study supports the argument that “using spending in the last year of life as a proxy for futile care is deeply flawed—because we are very bad at predicting who is going to die and who is not.”