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.
CNBC contributor Tom Popomaronis highlights a study by MIT researchers that demonstrates how back-and-forth exchanges could help children develop stronger communications skills.
Prof. Regina Barzilay speaks with NPR reporter Richard Harris about her work developing AI systems aimed at improving identification of breast cancer in mammograms, inspired by her experience with the disease. “At every point of my treatment, there would be some point of uncertainty, and I would say, 'Gosh, I wish we had the technology to solve it,’” says Barzilay.
Axios reporter Kaveh Waddell writes about a new study by MIT researchers that examines the potential impact of adversarial attacks on health care systems. “If someone sending in data for analysis has a different goal than the owner of the system doing the analysis, there's a potential for funny business,” Waddell explains.
MIT researchers have found that medical systems could be vulnerable to adversarial attacks, report Cade Matz and Craig Smith for The New York Times. AI systems could exacerbate the threat of “stakeholders bilking the system by subtly changing billing codes and other data in computer systems that track health care visits,” write Metz and Smith.
Profs. Regina Barzilay and Dina Katabi discuss how AI could transform the field of medicine in a special episode of CNBC’s Squawk Box, broadcast live from MIT’s celebration for the new MIT Schwarzman College of Computing. Barzilay explains that her goal is “to teach machines to do stuff that humans cannot do, for instance predict who is going to get cancer within two years.”
WBUR’s Deborah Becker speaks with Prof. Regina Barzilay about her work applying AI to health care and Prof. Sangbae Kim about how the natural world has inspired his robotics research during a special Radio Boston segment highlighting innovation in the greater Boston area.
Prof. Eric Alm speaks with New Scientist reporter Elie Dolgin about his work building a repository of gut microbes. “What we are doing is taking a snapshot of the biodiversity of human gut microbes on Earth today,” Alm explains, “and then preserving that for future generations so that we always have the biodiversity that co-evolved with us stored somewhere.”
New York Times reporter Janet Morrissey spotlights Prof. Regina Barzilay and Prof. Dina Katabi’s work developing new AI systems aimed at improving health care. “It’s absolutely the future; it’s even the present,” says Barzilay. “The question is how fast do we adopt it?”
Prof. Rosalind Picard speaks with NBC Mach reporter Jessica Wapner about how wearable devices could be used to help detect and predict episodes of depression. “We’d love to get to you before you get depressed,” explains Picard, “and help you put things back in your life before you get in trouble.”
MIT startup Vicarious Surgical is developing a minimally invasive surgical technique that combines virtual reality and miniature surgical robots, reports Jonathan Sieber for TechCrunch. The founders say they hope “to drive down both the cost of higher impact surgeries and access to the best surgeons through remote technologies.”