Skip to content ↓

Topic

Health sciences and technology

Download RSS feed: News Articles / In the Media / Audio

Displaying 121 - 135 of 325 news clips related to this topic.
Show:

STAT

A recent review by MIT researchers finds that “only about 23% of machine learning studies in health care used multiple datasets to establish their results, compared to 80% in the adjacent field of computer vision, and 58% in natural language processing,” writes Casey Ross for STAT. “If the performance results are not reproduced in clinical care to the standard that was used during [a study], then we risk approving algorithms that we can’t trust,” says graduate student Matthew McDermott. “They may actually end up worsening patient care.”

NPR

Prof. Linda Griffith joins Terry Gross of NPR’s Fresh Air to discuss how studying endometriosis could help unlock some of the mysteries of tissue regeneration. "The regeneration of the endometrium is weirdly not studied as much as it should be," she says. "But it's fascinating because you get about a centimeter of growth of tissue that has beautifully formed blood vessels, an immune system, all of the structures of the tissue — over a period of about two weeks."

STAT

Principal research scientist Leo Anthony Celi speaks with STAT reporter Katie Palmer about the importance of open data sharing in medical research, his new role as editor of PLOS Digital Health, and the challenges facing machine learning in medicine. “With digitization, we’re hoping each country will have an opportunity to create their own medical knowledge system,” says Celi.

New York Times

Prof. Linda Griffith is on a mission to change the conversation about endometriosis “from one of women’s pain to one of biomarkers, genetics and molecular networks,” writes Rachel E. Gross for The New York Times. “The endometrium is inherently regenerative,” says Griffith. “So studying it, you’re studying a regenerative process — and how it goes wrong, in cases.” 

WHDH 7

7 News reporter Byron Barnett spotlights how MIT researchers are developing new face masks aimed at stopping the spread of Covid-19. Prof. Giovanni Traverso is creating reusable masks with pop-put disposable filters, and Prof. Michael Strano is developing a mask that could “destroy the virus, using a nine-volt battery to heat the mask and kill the virus before the wearer breathes it in.”

The Wall Street Journal

Wall Street Journal reporter Suzanne Oliver spotlights two MIT efforts to innovate the face mask. Prof. Giovanni Traverso and his colleagues are developing a reusable, silicon-rubber mask with “sensors that give feedback on fit and functionality,” while Prof. Michael Strano has designed a version that “incorporates a copper mesh heated to about 160 degrees that traps and deactivates the virus.”

Popular Mechanics

Popular Mechanics reporter Kyro Mitchell explores how MIT researchers have created a biodegradable medical patch that could be used to repair internal injuries. Mitchell notes that the patch “can be easily wrapped around robotic tools like a balloon catheter and a surgical stapler and then be inserted into the patient.”

Mashable

Mashable reporter Kellen Beck spotlights how MIT researchers have developed a new medical patch that could be used to repair tears in organs and tissues.” Because internal surgeries involve small, specialized tools, the patch was created to fold around these tools and make insertion and use in tight spaces simpler. The patch resists contamination and biodegrades over time,” writes Beck.

El Pais

Prof. Dava Newman speaks with Esther Paniagua of El País about her goals for her new role as director of the MIT Media Lab. “We want to accelerate positive change for people,” says Newman in this interview, which is in Spanish. “Trying to answer the big questions: equity, justice, inequality, climate and sustainability, people and communication, and education and learning.”

Wired

Wired reporter Will Knight spotlights how MIT researchers built a machine learning system that can help predict which patients are most likely to develop breast cancer. “What the AI tools are doing is they're extracting information that my eye and my brain can't,” says Constance Lehman, a professor of radiology at Harvard Medical School and division chief of breast imaging at MGH.

The Boston Globe

Writing for The Boston Globe, Prof. Ramesh Raskar underscores the importance of ensuring that every American has the opportunity to receive the Covid-19 vaccine without cost or without giving up their privacy. “By effectively communicating the privacy benefits of decentralized data collection and anonymized data reporting, mobile apps might diminish barriers to vaccination that exist due to privacy concerns,” writes Raskar.

TechCrunch

TechCrunch reporter Devin Coldewey writes that Prof. Dava Newman has been selected as the new director of the MIT Media Lab. Coldewey notes that Newman is "starting off the job by emphasizing one of the best qualities a leader should have: listening to the people she’ll be leading.”

WBUR

Prof. Dava Newman speaks with WBUR’s Max Larkin about being selected as the new director of the MIT Media Lab. Larkin highlights how Newman, an aerospace engineer and former deputy administrator of NASA, “comes into the role with a stellar resume.” Newman remarks that “superstars and genius come in all forms and shapes.” As director, she says she hopes to celebrate the lab’s “‘infinite diversity in infinite combinations.’”

Wired

Prof. Giovanni Traverso has been highlighted by Wired as one of 32 innovators who are changing the world, writes Sanjana Varghese for Wired. Prof. Robert Langer notes that Traverso is “transforming how we interact with medications, for example through the development of pills that remain in the body for multiple weeks or months to address medication non-adherence, or the creation of small, swallowable devices enabling the delivery of biologics like insulin.”

The Economist

MIT researchers have developed a new system that uses solar power to sterilize medical tools, according to The Economist. The system “should cost just a tenth as much to make commercially as a conventional autoclave of equivalent potency.”