Institute for Medical Engineering and Science (IMES)

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 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.

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.”

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.”

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 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.”

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 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.”

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.”

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.”

MIT researchers have developed a new technique to measure cancer cells that provides insight into how certain cells respond to treatment, reports the Xinhua news agency. The findings could be used to help develop new drug targets, making current treatments more effective.

Reporting for WBUR’s CommonHealth, Carey Goldberg highlights new classroom kits developed by MIT researchers that allow kids to learn and experiment with the building blocks of DNA. "I just think it's really important that microbiology education is accessible for everyone," says graduate student Ally Huang, "and that everyone, regardless of their resources, has access to things like this."

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.

Boston Globe reporter Jonathan Saltzman spotlights postdoctoral associates Matheus Victor, Jarrett Smith and Quinton Smith. They have been selected by the Howard Hughes Medical Institute as Hanna Gray Fellows, a program that aims to encourage emerging young scientists who are underrepresented in life sciences.