February 20, 2020
Using a new algorithm, MIT researchers have discovered an antibiotic that can treat drug-resistant bacteria, reports Madhumita Murgia for the Financial Times. “There is still a question of whether machine-learning tools are really doing something intelligent in healthcare,” says Prof. Regina Barzilay. “This shows how far you can adapt this tool.”
Washington Post reporter Cat Zakrzewski spotlights how MIT researchers are developing a system that uses smartphone Bluetooth signals to track the spread of Covid-19 while protecting privacy. “Our effort is designed to show that there is a privacy preserving way of doing this kind of automated contact tracing,” explains Principal Research Scientist Daniel Weitzner.
Researchers from MIT, MGH and other institutions are developing a system that automates contact tracing for Covid-19 using smartphone Bluetooth signals while preserving user privacy, reports Zeninjor Enwemeka for WBUR. "It's got to be part of a public health strategy," says Principal Research Scientist Daniel Weitzner of the system. "We're developing this as a tool that we hope can be useful to that process."
Fast Company reporter Katharine Schwab writes that researchers from MIT are building a system that uses random identifiers emitted by smartphone Bluetooth signals to help track the spread of Covid-19. “Instead of an eye in the sky that watches everybody, we want to have the phones that people are carrying around tell how close they’ve been to other people,” says Prof. Ron Rivest.
A new contact tracing method developed by MIT researchers uses Bluetooth signals emitted by smartphones to trace the spread of Covid-19 while maintaining privacy, reports Darrell Etherington for TechCrunch. Etherington notes that, “MIT’s system sidesteps entirely many of the thorniest privacy-related issues around contact tracing.”
CNET reporter Stephen Shankland writes that MIT researchers are “developing a smartphone app they hope will tamp down the coronavirus pandemic without trampling on privacy.” Prof. Ron Rivest explains that, "the way to flatten the curve is to get people to be sequestered who have been exposed as quickly as you can. That means identifying people as quickly as you can."
Wall Street Journal reporter Agam Shah spotlights the MIT Covid-19 Challenge’s Beat the Pandemic virtual hackathon, which brought together 1,500 participants working in 238 teams. During the hackathon, MIT provided participants with “access to open data sets including JHU’s epidemiological data repository and Covid-19 information compiled by the World Health Organization and the European Centre for Disease Control and Prevention.”