Health sciences and technology

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.”

Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a deep learning model that could predict whether a woman might develop breast cancer. The system “could accurately predict about 31% of all cancer patients in a high-risk category,” Grothaus explains, which is “significantly better than traditional ways of predicting breast cancer risks.”

WCVB-TV’s Jennifer Eagan reports that researchers from MIT and MGH have developed a deep learning model that can predict a patient’s risk of developing breast cancer in the future from a mammogram image. Prof. Regina Barzilay explains that the model “can look at lots of pixels and variations of the pixels and capture very subtle patterns.”

HealthDay News reporter Amy Norton writes that MIT researchers have developed an AI system that can help predict a woman’s risk of developing breast cancer and provide more personalized care. “If you know a woman is at high risk, maybe she can be screened more frequently, or be screened using MRI,” explains graduate student Adam Yala.

Fox News reporter James Rogers writes that the next International Space Station refueling flight will include an organ-on-a-chip device developed by MIT researchers. “The MIT-developed chip will be used to study the ability of bone and cartilage to recover after damage,” Rogers explains.

MIT researchers have developed tiny robots powered by magnetic fields that can be used to bring drugs nanoparticles from the bloodstream into a tumor or disease site in the human body, reports the Xinhua news agency.