Biological engineering

Prof. James Collins and his colleagues are using AI to develop new antibiotic compounds to treat infections and combat antibiotic resistance concerns, reports Lisa M. Krieger for the San Fransico Chronicle. “Looking at the structure of a compound — bond by bond, substructure by substructure — it (AI) can make a calculation of the probability that it could be antibacterial,” explains Collins. So far, “Collins and his colleagues have synthesized several compounds that combat hard-to-treat infections of gonorrhea and MRSA,” writes Krieger. “These techniques are also being harnessed to fight diseases, like cancer, lupus and arthritis.” 

Prof. James Collins speaks with Financial Times reporter Patrick Temple-West about his work using AI to design new antibiotic compounds to combat drug-resistant bacteria. “At present, the [AI] models are doing quite well at designing compounds that can attack in a Petri dish,” says Collins. 

Researchers at MIT are using AI systems to design new molecules for potential antibiotics, research that is “aimed at the growing challenge of antibiotic-resistant infections,” reports Adele Peters for Fast Company. “The number of resistant bacterial pathogens has been growing, decade upon decade,” says Prof. James Collins. “And the number of new antibiotics being developed has been dropping, decade upon decade.” 

Prof. Bryan Bryson speaks with Chris Smith on The Naked Scientists podcast about his efforts to find targets for a new tuberculosis vaccine, as the current version, which is very effective in children, does not sufficiently protect adolescents and adults. “Right now, we only have one TB vaccine that's over 100 years old,” said Bryson.  “And for me as an engineer, if somebody tells you there's a 100 year old technology that doesn't work the way that you want it to, you want to say, let's build a better one.” 

Philadelphia Inquirer reporterMaggie Prosser spotlights senior Alice Hall, who was selected as one of the 2026 Rhodes Scholars. “Never stop trying to learn, especially from the people around you,” says Hall. “You don’t have to be a Rhodes scholar to change the world. Just be yourself.” 

Vivian Chinoda '25, Alice Hall, Sofia Lara, and Sophia Wang '24 have been named 2026 Rhodes Scholars, reports Michael Nietzel for Forbes. “This class of U.S .Rhodes Scholars will pursue studies across the social sciences, humanities, and biological and physical sciences,” writes Nietzel. 

Boston 25 spotlights Vivian Chinoda '25, Alice Hall, Sofia Lara, and Sophia Wang '24 who have been named 2026 Rhodes Scholars. “The students will attend the University of Oxford as part of the Rhodes scholar program, which awards more than 100 scholarships worldwide each year for students to pursue two to three years of graduate studies.”

Vivian Chinoda '25, Alice Hall, Sofia Lara, and Sophia Wang '24 have been selected as 2026 Rhodes Scholars, reports Lila Hempel-Edgers for The Boston Globe. “It’s just a thrill and an inspiration to meet each one of them,” said Prof. Nancy Kanwisher, who co-chairs MIT’s Presidential Committee on Distinguished Fellowships. “You just can’t believe how accomplished they are and how thoughtful they are about the major problems facing the world.”

Prof. Linda Griffith speaks with Science Friday host Flora Lichtman about her work studying endometriosis. “I did a lot of things in the regenerative medicine space. But I had an epiphany that there’s so many chronic and inflammatory disease that we don’t know how to treat so I started building models of human organs and tissues in the lab using what we called microfluidic chips,” Griffith explains. “When I got asked about endometriosis, it was actually a perfect application for this kind of approach because we really need to study the lesions very carefully in the lab in ways that is very hard to study in patients.” 

The MIT Health and Life Sciences Collaborative (MIT HEALS) launched the Fairbairn Menstruation Science Fund earlier this year as part of an effort aimed at improving women’s health, reports Zoë Corbyn for The Guardian. “This is frontier science,” says Prof. Linda Griffith. Corbyn also spotlights how Ridhi Tariyal MS '10 has co-founded NextGen Jane, a women’s healthcare startup that aims to gain better insight into women’s reproductive health by studying menstruation.

Prof. Linda Griffith and her colleagues have “developed a model of the human gut to study how the organ’s microbes interact with immune cells and regulate inflammation,” reports Gemma Conroy for Nature. Griffith and her team “have also created models for endometriosis and pancreatic cancer,” writes Conroy. 

In an effort to better understand how protein language models (PLMs) think and better judge their reliability, MIT researchers applied a tool called sparse autoencoders, which can be used to make large language models more interpretable. The findings “may help scientists better understand how PLMs come to certain conclusions and increase researchers’ trust in them," writes Andrea Luis for The Scientist. 

Prof. Linda Griffith speaks with Nature reporter Cassandra Willyard about her work developing lab-made organoids to help study the root causes of endometriosis. Griffith has been working to develop “a model of abnormal endometrial tissue that the researchers can use to test therapies for the condition,” writes Willyard. “Because blood vessels are crucial to maintaining this tissue, Griffith knew she wanted to include them. To do this, she and her colleagues placed the organoid on a microfluidic chip surrounded by cells that form blood vessels.” 

Beth Pollack, a research scientist in the Department of Biological Engineering, speaks with The Guardian’s Science Weekly hosts Madeleine Finaly and Ian Sample about her research on chronic fatigue syndrome (MF CFS) and other chronic illnesses. “There are a number of interesting treatments addressing the different aspects of immune disfunction with different immunomodulators,” says Pollack. 

Using generative AI, researchers at MT have designed new antibiotics to combat MRSA and gonorrhea, reports James Gallagher for the BBC. "We're excited because we show that generative AI can be used to design completely new antibiotics," says Prof. James Collins. "AI can enable us to come up with molecules, cheaply and quickly and in this way, expand our arsenal, and really give us a leg up in the battle of our wits against the genes of superbugs."