Health sciences and technology

Reuters reporter Storay Karimi spotlights how the Afghan all-girls robotics team has designed a low-cost ventilator, based in part off the E-Vent device developed by MIT researchers.

Fast Company reporter Adele Peters writes that researchers from MIT and Brigham and Women’s Hospital have developed a new face mask that is made of silicon and designed to be reused and sterilized repeatedly. “We wanted to have a system that could be accessible and used by anyone globally,” says Prof. Giovanni Traverso

Prof. Giovanni Traverso speaks with CBS Boston about a new silicon mask with N95 filters that can be reused and sterilized. “We recognize that not everybody has the sophisticated sterilization equipment but we also recognize that many folks around the world would have access to some kind of an oven or perhaps a solution of chlorine,” says Traverso.

WBUR’s Carey Goldberg explores how MIT researchers developed a new CRISPR-based research tool that can be used to detect Covid-19. "A lot of things that we try fail," says research scientist Jonathan Gootenberg. "And that’s OK. Because sometimes you find these things that are really, really awesome."

UPI reporter Sommer Brokaw writes that researchers from MIT and Brigham and Women’s Hospital have created a new reusable silicon face mask with N95 filters. “The new masks have space for one or two N95 filters to be replaced after each use, and the rest of the rubber mask itself can be sterilized and reused many times,” writes Brokaw.

Researchers from MIT and Brigham and Women’s Hospital have designed a new reusable face mask outfitted with N95 filters that can be sterilized, reports WHDH.

Researchers from MIT and Brigham and Women’s Hospital have developed a new silicon mask with N95 filters that can be sterilized and reused, reports Martin Finucane for The Boston Globe. “The mask is made of silicone rubber and includes one or two detachable N95 filters, but those filters require much less N95 material than a traditional N95 mask,” writes Finucane.

MIT researchers have created a “new laser ultrasound technique [that] utilizes an eye and skin safe laser system to image the inside of a person remotely,” reports Jennifer Kite-Powell for Forbes.

CNN reporter Nell Lewis spotlights how MIT researchers have developed an algorithm that can help predict from a mammogram a patient’s risk of developing breast cancer. “In the early stages cancer is a treatable disease,” says Barzilay. “If we can identify many more women early enough, and either prevent their disease or treat them at the earliest stages, this will make a huge difference.”

The Singapore-MIT Alliance for Research and Technology (SMART) has launched an initiative aimed at advancing cell therapy research, reports Shabana Begum for The Straits Times. “Imagine providing the right living cells…to each patient as quickly and safely as possible,” explains Prof. Krystyn Van Vliet. "Delivering on that promise requires exciting changes in the way we understand, engineer, measure and select cells."

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.”

A study co-authored by Prof. Cynthia Breazeal found that a “social robot” teddy bear “boosted spirits, eased anxiety and even lowered perceived pain levels” among Boston Children’s Hospital patients aged 3 to 10 years old, reports Robert Preidt for US News & World Report. “We want technology to support everyone who's invested in the quality care of a child," says Breazeal.

Researchers at MIT and Brown University created an interactive data system that “could give everyone AI superpowers,” writes Darrell Etherington for TechCrunch. Known as ‘Northstar,’ the system can instantly generate machine-learning models to use with existing data sets in order to generate useful predictions, explains Etherington.

A new AI prediction model developed at MIT could detect breast cancer up to five years in advance. The researchers hope this technique “can also be used to improve detection of other diseases that have similar problems with existing risk models, with far too many gaps and lower degrees of accuracy,” writes Darrell Etherington for TechCrunch.

Writing for the Financial Times about how technology is advancing the field of health care, John Browne spotlights Prof. Bob Langer’s work developing new methods of delivering drugs with improved precision. Browne explains that Langer is working on “a device smaller than a grain of rice that he can inject into a tumour to test the efficacy of dozens of chemotherapy agents in parallel.”