Prof. Regina Barzilay speaks with Good Morning America about her work developing a new AI tool that could “revolutionize early breast cancer detection” by identifying patients at high risk of developing the disease. “If this technology is used in a uniform way,” says Barzilay, “we can identify early who are high-risk patients and intervene.”
Washington Post reporter Steve Zeitchik spotlights Prof. Regina Barzilay and graduate student Adam Yala’s work developing a new AI system, called Mirai, that could transform how breast cancer is diagnosed, “an innovation that could seriously disrupt how we think about the disease.” Zeitchik writes: “Mirai could transform how mammograms are used, open up a whole new world of testing and prevention, allow patients to avoid aggressive treatments and even save the lives of countless people who get breast cancer.”
Boston Globe reporter Kay Lazar spotlights how the Broad Institute “has become the region’s powerhouse for monitoring shifts in the genetic makeup of the coronavirus.”
Researchers from MIT and Massachusetts Eye and Ear have found that Covid-19 can cause long-term issues with a patient’s ear, reports Matthew Rozsa for Salon. The researchers found that the SARS-CoV-2 virus is capable of infecting the hair cells of the inner ear, as well as (to a lesser extent) the Schwann cells,” Rozsa explains.
Researchers from MIT and the Smithsonian Conservation Biology Institute are developing a probiotic to cure amphibian chytrid fungus in frogs, reports Jennifer Zoon for Smithsonian Magazine.
Orna Therapeutics, which was co-founded by MIT researchers, is working on “programming RNA with genetic code that instructs a line to split into several strands and then repair itself in the shape of a circle,” reports Bloomberg Businessweek reporter Angelica LaVito. “Delivering those messages via circles may produce a more stable, longer-lasting signal, potentially treating cancer, autoimmune disorders, and genetic diseases.”
Wall Street Journal reporter Sara Castellanos spotlights Prof. Markus Buehler’s work combining virtual reality with sound waves to help detect subtle changes in molecular motions. Castellanos notes that Buehler and his team recently found, “coronaviruses can be more lethal or infectious depending on the vibrations within the spike proteins that are found on the surface of the virus.”
Reporting for the PBS NewsHour, Miles O’Brien visits alumnus Dexter Ang ‘05 to learn more about how his startup, Pison, is developing a wrist-worn sensor that detects the faint electrical signals controlling simple hand gestures, allowing users to control digital interfaces using brain signals. “The device is connected to a smartphone, allowing control of it or other devices, conveyor belts in factories, drones, even pinball machines, to name a few,” notes O’Brien. He adds that Ang was inspired by his late mother, who contracted ALS, as “he wanted to make her life easier.”
WHDH spotlights how MIT and Harvard researchers are creating wearable biosensors that could be used to detect Covid-19 in a person’s breath. “At the end of the day, what we wanted to do was basically to blend both to potentially produce a product that was more easily incentivized patients to both wear a mask and to get tested,” explains Luis Soenksen of the Abdul Latif Jameel Clinic for Machine Learning in Health.
A new sensor developed by MIT and Harvard researchers can be embedded in a face mask and used to alert the wearer if they have Covid-19, reports CBS Boston. “Small disposable sensors can diagnose the wearer of the mask within 90 minutes," reports CBS Boston. "The technology has been used before to detect Ebola and Zika, but now researchers are embedding it into face masks and lab coats as a new method to safeguard health care workers.”
Researchers from MIT and Harvard have developed a new sensor technology that can be embedded in a face mask to detect whether the wearer has Covid-19, reports Pranshu Verma for The Boston Globe. “We worked hard, sometimes bringing nonbiological equipment home and assembling devices manually,” says Luis Soenksen of the Abdul Latif Jameel Clinic for Machine Learning in Health. “It was definitely different from the usual lab infrastructure we’re used to working under, but everything we did has helped us ensure that the sensors would work in real-world pandemic conditions.”
Researchers from MIT and Harvard have developed a face mask outfitted with sensors that can detect if the wearer has Covid-19, reports Adele Peters for Fast Company. “If testing and sensing at a biological molecular level could be done in a format that can follow people around instead of people having to go to the clinic, maybe you can encourage people to get more testing done,” says Luis Soenksen, a Venture Builder at MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health.
Professor Martin Bazant and Professor John Bush have developed a new safety guideline to limit the risk of airborne Covid-19 transmission in different indoor settings. “For airborne transmission, social distancing in indoor spaces is not enough, and may provide a false sense of security,” says Bazant. “Efficient mask use is the most effective safety measure, followed by room ventilation, then filtration,” adds Bush.
MIT researchers are applying machine learning algorithms typically used for natural language processing to identify coronavirus variants, reports Brian Browdie for Quartz. “Besides being able to quantify the potential for mutations to escape, the research may pave the way for vaccines that broaden the body’s defenses against variants or that protect recipients against more than one virus, such as flu and the novel coronavirus, in a single shot,” writes Browdie.
Gizmodo reporter Andrew Liszewski spotlights MIT startup OPT Industries, which has created a new type of Covid-19 nasal swab “that’s faster at absorbing samples, and better at releasing it for analysis.”