Skip to content ↓


Drug resistance

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

Displaying 1 - 9 of 9 news clips related to this topic.

Financial Times

Researchers at MIT and elsewhere have used artificial intelligence to develop a new antibiotic to combat Acinetobacter baumannii, a challenging bacteria known to become resistant to antibiotics, reports Hannah Kuchler for the Financial Times. “It took just an hour and a half — a long lunch — for the AI to serve up a potential new antibiotic, an offering to a world contending with the rise of so-called superbugs: bacteria, viruses, fungi and parasites that have mutated and no longer respond to the drugs we have available,” writes Kuchler.

USA Today

Researchers from MIT and McMaster University have used artificial intelligence to identify a new antibiotic that can fight against a drug-resistant bacteria commonly found in hospitals and medical offices, reports Ken Alltucker for USA Today. The researchers believe the AI “process used to winnow thousands of potential drugs to identify one that may work is an approach that can work in drug discovery,” writes Alltucker.

The World

Researchers from MIT and elsewhere have used artificial intelligence to develop a new antibiotic to address Acinetobacter baumannii, a bacteria known for infecting wounds, lungs and kidneys, reports Harland-Dunaway for The World.


Using a machine-learning algorithm, researchers from MIT and McMaster University have discovered a new type of antibiotic that works against a type of drug-resistant bacteria, reports Brenda Goodman for CNN. Goodman notes that the compound “worked in a way that stymied only the problem pathogen. It didn’t seem to kill the many other species of beneficial bacteria that live in the gut or on the skin, making it a rare narrowly targeted agent.”

The Guardian

Researchers from MIT and McMaster University used a machine-learning algorithm to identify a new antibiotic that can treat a bacteria that causes deadly infections, reports Maya Yang for The Guardian. The researchers used an “AI algorithm to screen thousands of antibacterial molecules in an attempt to predict new structural classes. As a result of the AI screening, researchers were able to identify a new antibacterial compound which they named abaucin,” writes Yang.

Channel NewsAsia

Researchers at the Singapore-MIT Alliance for Research and Technology have been awarded funding for two new programs aimed at addressing global challenges, according to Dewi Fabbri of Channel NewsAsia. Prof. Michael Strano will lead a project that uses sensors to monitor the health of plants, while Prof. Peter Dedon will focus on examining drug resistant organisms.

In an effort to defeat bacteria resistant infections, Prof. Timothy Lu is researching ways to use CRISPR-Cas9 to edit the DNA of superbugs, writes Melanie Evans for The Wall Street Journal. “We are re-engineering the genetic code that underpins life” to help defeat superbugs, Lu explains.

The Boston Globe

Prof. Thomas Levenson writes for The Boston Globe about the potential impact drug-resistant bacteria could have on the future of surgery. “As more and more bacteria show resistance to antibiotics, the risks change — to the point that doctors and patients alike may soon face agonizing choices about whether or when to take a chance on many of the surgeries we now accept as a matter of course,” says Levenson.  


Angus Chen reports for NPR that MIT and Harvard researchers have captured footage showing bacteria invading antibiotics and transforming into superbugs. Postdoc Tami Lieberman explains that she hopes the visualization will help illustrate that “drug resistance is not some abstract threat. It's real."