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New York Times

A study co-authored by Prof. Jonathan Gruber finds that the Affordable Care Act’s individual mandate did not significantly impact coverage rates, reports Sarah Kliff for The New York Times. “The mandate made a difference, but not a huge difference in terms of the numbers of people signing up,” says Gruber.

The Washington Post

Washington Post reporter Rachel Lerman highlights how MIT researchers developed a robotic system that uses UV light to disinfect spaces. “By knowing the geometry of the space — usually represented as a map — the robot can compute a patrolling trajectory and speed to expose all surfaces to the dosage that neutralizes the pathogens,” explains Prof. Daniela Rus, director of CSAIL.

TechCrunch

A wireless system developed by CSAIL researchers can monitor movement and vital signs without using video, while also preserving privacy, reports Darrell Etherington for TechCrunch. “The system has the potential to be used at long-term care and assisted living facilities to provide a higher standard of support, while also ensuring that the privacy of the residents of those facilities is respected,” writes Etherington.

Scientific American

Writing for Scientific American, Carolyn Barber spotlights how researchers from MIT are developing cheap, fast and easy to use diagnostics for Covid-19 that can deliver results in minutes. “They are called lateral flow assays, but manifestly they are paper-strip tests that have an antibody embedded on filter paper,” writes Barber. “If a saliva sample has coronavirus present, the antibody will bind that viral antigen, turning the test positive, much like a pregnancy test works.”

The Washington Post

Writing for The Washington Post, Prof. Robin Wolfe Scheffler underscores the importance of not only pursuing coronavirus vaccine development initiatives, but also “addressing the social and political factors that exacerbate disease and limit the access of many Americans to basic medical care.”

CNN

CNN reporter Allen Kim writes about how CSAIL researchers developed a new system that enables a robot to disinfect surfaces and neutralize aerosolized forms of the coronavirus. In the future, the researchers hope the robot could be used to enable autonomous UV disinfection “in other environments such as supermarkets, factories and restaurants.”

WHDH 7

WHDH reporter Emily Pritchard spotlights how CSAIL researchers have developed a new robotic system that is being used to help disinfect the Greater Boston Food Bank during the coronavirus pandemic. “We believe that is one piece of the puzzle in figuring out how to mitigate the spread of coronavirus,” says research scientist Alyssa Pierson.

TechCrunch

A new robotic system developed by CSAIL researchers uses UV-C light to kill viruses and bacteria on surfaces and aerosols, reports Darrell Etherington for TechCrunch. “Via cameras and sensors, the robot can map an indoor space, then navigate designed waypoints within that mapped area and disinfect as it goes, keeping track of the areas it has to disinfect,” writes Etherington.

WCVB

MIT researchers have developed a new robotic system that uses a UV-C light fixture to disinfect surfaces at the Greater Boston Food Bank’s warehouse staging area, reports Matt Reed for WCVB. Research scientist Alyssa Pierson explains that the ultraviolet light "breaks apart the kind of outer incasing or shell of these pathogens."

STAT

MIT researchers have developed an AI system that can predict Alzheimer’s risk by forecasting how patients will perform on a test measuring cognitive decline up to two years in advance, reports Casey Ross for STAT

military.com

The Department of Veterans Affairs is participating in a series of MIT “GrandHacks,” problem-solving sessions aimed at tackling some of the VA’s biggest health care challenges, reports Patricia Kime for Military.com. The sessions, explains Kime, “bring together teams of students, entrepreneurs, tech gurus, health providers, patients, insurers and academicians to find solutions to problems in a short amount of time.”

TechCrunch

A sensor developed by MIT researchers could make diagnosing sepsis easier, quicker and more affordable, reports Darrell Etherington for TechCrunch. Etherington explains that the sensor, which “employs microfluidics to detect the presence of key proteins in the blood,” could have “a huge potential impact, as sepsis is one of the leading causes of death in hospitals.”

STAT

Writing for STAT, Prof. Jonathan Gruber examines his research showing that while doctors have more information about different tests and treatments, they make decisions similar to their patients when receiving care. Gruber says this finding suggests that to improve health care decision-making, financial incentives and other approaches are needed that go beyond providing patients with more information.

CNN

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.”

US News & World Report

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.