July 21, 2019
Writing for Astronomy, Korey Haynes spotlights Elaine Denniston, who was hired as a keypuncher at the MIT Instrumentation Lab, but went above and beyond, reviewing the Apollo code for errors. Denniston, who went on to become a lawyer, says that she “didn’t realize then that what I did was anything special. I typed, I found errors, I nagged people.”
A new long-lasting pill developed by MIT researchers could be used to deliver contraceptive drugs on a monthly basis, reports Michelle Roberts for the BBC News. “The prototype is a star-shaped drug delivery system packaged into an easy-to-swallow dissolvable capsule no bigger than a regular fish oil tablet,” Roberts reports.
MIT researchers have developed a new star-shaped device that unfolds in the stomach and gradually releases a drug, reports Lauran Neergard for the Associated Press. “We developed this capsule system that looks like a starfish, that can stay in the stomach several days, weeks, even a month at a time,” says Prof. Giovanni Traverso.
MIT researchers have created a new long-lasting capsule that has been designed to survive in the human stomach for 30 days and could be used to deliver monthly doses of oral contraceptive drugs, reports Alice Park for TIME. “We see an enormous number of potential applications,” says Prof. Robert Langer.
New Scientist reporter Jessica Hamzelou writes that MIT researchers have developed an oral contraceptive capsule that may only need to be taken once a month. “The goal here was to develop a discreet, non-invasive system that can provide long-acting oral contraception,” explains Prof. Giovanni Traverso.
A new study co-authored by MIT researchers examines the accuracy of climate models published over the past five decades, reports David Roberts for Vox. The researchers found that even “crude early models were fairly accurate, which is remarkable given the sophistication of the science and the available computing power. “
Wired reporter Aarian Marshall writes that CSAIL researchers have developed a new system that could help autonomous vehicles predict the decisions other drivers will make. “The technique improves self-driving vehicles’ predictions about human drivers’ decisions, and therefore the vehicles’ on-road performance, by 25 percent, as measured by a test involving merging in a computer simulation,” writes Marshall.