Skip to content ↓

Topic

Institute for Medical Engineering and Science (IMES)

Download RSS feed: News Articles / In the Media

Displaying 1 - 15 of 139 news clips related to this topic.
Show:

WCVB

Reporting for WCVB-TV, Katie Thompson highlights a new study by MIT researchers that examines the role of super-spreading events in the Covid-19 pandemic. "The main idea is that most people generate zero or one cases, but it's the people generating hundreds of cases that we should perhaps be worried about," says postdoc Felix Wong said.

Boston 25 News

Prof. James Collins speaks with Boston 25 reporter Julianne Lima about the growing issue of antibiotic resistant bacteria and his work using AI to identify new antibiotics. Collins explains that a new platform he developed with Prof. Regina Barzilay uncovered “a host of new antibiotics including one that we call halicin that has remarkable activity against multi drug-resistant pathogens.”

WBUR

A new study by MIT researchers finds that super-spreading events are larger drivers of the Covid-19 pandemic than originally thought, reports Carey Goldberg for WBUR. “We found in our study that super-spreading events can indeed be a major driver of the current pandemic,” says postdoc Felix Wong. “Most people generate zero or one cases, but it's the people generating hundreds of cases that we really should be worried about.”

The Wall Street Journal

The Association for the Advancement of Artificial Intelligence has awarded Prof. Regina Barzilay a $1 million prize for her work advancing the use of AI in medicine, reports John McCormick for The Wall Street Journal. "Regina is brilliant, has very high standards, and is committed to helping others,” says Prof. James Collins. “And I think her experience with—her personal experience with cancer—has motivated her to apply her intellectual talents to using AI to advance health care.”

Stat

Prof. Regina Barzilay has been named the inaugural recipient of the Squirrel AI Award for Artificial Intelligence to Benefit Humanity for her work developing new AI techniques to help improve health care, reports Rebecca Robbins for STAT. Robbins writes that Barzilay is focused on turning the “abundance of research on AI in health care into tools that can improve care.”

Scientific American

Writing for Scientific American, Carolyn Barber spotlights how researchers from MIT are developing cheap, fast and easy to use diagnostics for Covid-19 that can deliver results in minutes. “They are called lateral flow assays, but manifestly they are paper-strip tests that have an antibody embedded on filter paper,” writes Barber. “If a saliva sample has coronavirus present, the antibody will bind that viral antigen, turning the test positive, much like a pregnancy test works.”

WHDH 7

WHDH spotlights MIT startup E25Bio, which is developing a new rapid test to diagnose Covid-19. The test being developed by E25Bio is a paper strip that can deliver test results in 15 minutes, WHDH explains.

Marketplace

Prof. James Collins speaks with Molly Wood of Marketplace about his work developing a faster, cheaper and more accurate Covid-19 diagnostic. Collins explains that his research group is “using synthetic biology to create highly sensitive, low-cost diagnostics, some that are now approved for use in clinical diagnostics labs, and now we’re moving towards point-of-care diagnostics, as well as at-home diagnostics.”

Stat

Prof. Sangeeta Bhatia and senior postdoctoral associate Leslie Chan discuss their work developing a synthetic biosensor to diagnose lung disease. Chan explains that “instead of relying on naturally occurring breath volatiles, we wanted to be able to engineer the breath signal that we could use to monitor lung disease.”

NIH

Dr. Francis Collins, director of the NIH, spotlights a video created by Prof. Kwanghun Chung that takes viewers on a voyage through a region of the brain that controls voluntary movement. Thanks to imaging techniques like Chung’s, “mapping the biocircuitry of the brain just keeps getting better all the time,” Collins explains.

Stat

STAT reporter Rebecca Robbins spotlights how the MIMIC database of de-identified medical records has helped advance AI research in medicine. “If you are developing an algorithm, let’s say for decision support or prediction, and you’re using machine learning, then you need a huge number of examples — and there are virtually no open-source databases like this,” explains Prof. Roger Mark. It’s the only one in town, pretty much.”

Xinhuanet

MIT researchers have developed tiny robots powered by magnetic fields that can be used to bring drugs nanoparticles from the bloodstream into a tumor or disease site in the human body, reports the Xinhua news agency.

Guardian

Guardian reporter Ian Sample writes that MIT startup Synlogic are developing a “living” medicine” made from genetically modified bugs. “By engineering these bacteria, we are able to control how they operate in the human gastrointestinal tract,” says Caroline Kurtz of Synlogic. “It allows us to think about many other diseases where you may need to produce something beneficial, or remove something that is toxic for the patient.”

Scientific American

MIT researchers have developed an inhalable form of messenger RNA that could be used to help treat patients with lung disease, reports Christopher Intagliata for Scientific American. Intagliata explains that researchers hope to one day “use this technique to help cystic fibrosis patients.”

The Wall Street Journal

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.”