Fast Company reporter Amelia Hemphill spotlights the work of Alicia Chong Rodriguez SM ’17, SM ’18, and her startup Bloomer Tech, which is “dedicated to transforming women’s underwear into a healthcare device.” “Our big goal is to generate digital biomarkers,” says Chong Rodriguez. “Digital biomarkers work more like a video, so it will definitely allow a more personalized care from the physician to their patient.”
Wired reporter Matt Simon spotlights a study by researchers from MIT and other institutions that finds smartphones in cars could be used to track the structural integrity of bridges. The findings “could pave the way (sorry) for a future in which thousands of phones going back and forth across a bridge could collectively measure the span’s health, alerting inspectors to problems before they’re visible to the human eye,” writes Simon.
Rob Morris PhD ’14 has dedicated his career to easing access to mental health services online, reports Shalene Gupta for Fast Company. “When you search for a flight on Google, you get directed to these options that make you instantly buy a flight,” he says. “The interface is beautiful. But when you look up mental health, it’s not great. I want to do for mental health what Google did for flights.”
Research scientist Brian Subirana speaks with The Economist’s Babbage podcast about his work developing a new AI system that could be used to help diagnose people asymptomatic Covid-19.
A new algorithm developed by MIT researchers could be used to help detect people with Covid-19 by listening to the sound of their coughs, reports Zoe Kleinman for BBC News. “In tests, it achieved a 98.5% success rate among people who had received an official positive coronavirus test result, rising to 100% in those who had no other symptoms,” writes Kleinman.
Mashable reporter Rachel Kraus writes that a new system developed by MIT researchers could be used to help identify patients with Covid-19. Kraus writes that the algorithm can “differentiate the forced coughs of asymptomatic people who have Covid from those of healthy people.”
MIT researchers have developed a new AI model that could help identify people with asymptomatic Covid-19 based on the sound of their cough, reports CBS Boston. The researchers hope that in the future the model could be used to help create an app that serves as a “noninvasive prescreening tool to figure out who is likely to have the coronavirus.”
MIT’s Solve initiative is accepting solutions for its Circular Economy Challenge, which focuses on renewable energy and waste elimination. “Ideas that help communities move towards zero waste and zero carbon through STEM education on new design and production techniques could win the GM Circular Economy Prize,” writes Natalie Parletta for Forbes.
In an article for The Wall Street Journal, Benjamin Powers highlights Affectiva and Koko, two MIT startups developing AI systems that respond to human emotions.
MIT researchers examined why a third of Wikipedia deliberations go unresolved and developed a new tool that could be used to help resolve more discussions, reports Samantha Cole for Motherboard. Cole explains that “the tool uses the data they found and analyzed in this research, to summarize threads and predict when they’re at risk of going stale.”
Postdoc Gabriel Leventhal has created a project to track how the microbes in a sourdough starter change as it gets shared around the world, writes Alex Kingsbury of The Boston Globe. To track the starter, “Herman,” each descendant is given a unique name and number before the samples are returned to the lab to track how the microbes evolve, Kingsbury explains.
Squadbox, developed by graduate student Amy Zhang, allows a user’s “squad” to sift through online messages and scan for contextual harassment language that software might miss. “Squadbox currently only works with email,” Shannon Liao writes for The Verge. “[B]ut the team behind it hopes to eventually expand to other social media platforms.”
Graduate student Amy Zhang, has developed an application, known as Squadbox, that seeks to disarm internet harassers by enlisting the help of a user’s friends, who act as inbox “moderators.” “According to what the harassed person has specified beforehand, the moderator can delete any abusive messages, forward on clean messages, or send along messages with tags,” writes Katharine Schwab for Co.Design.
MIT Media Lab project, Biota Beats, collects bacteria from different parts of the body and turns it into music, reports Erin Blakemore from The Washington Post. “The team crowdsources swabs from body parts — including mouths, feet, and armpits — then cultures the microorganisms on petri dish-like ‘records,’” Blakemore writes.
The Economist reviews Prof. Erik Brynjolfsson and Principal Research Scientist Andrew McAfee’s latest book, which examines how new digital technologies will impact businesses. Brynjolfsson and McAfee, “believe that the latest phase of computers and the internet have created three shifts in how work happens.”