Researchers at MIT have developed a vibrating pill that can be swallowed before eating to create a feeling of fullness, reports Nicola Davis for The Guardian. “This approach offers an alternative and potentially synergistic approach to other therapies available today,” says Prof. Giovanni Traverso.
Researchers at MIT have developed “a battery-operated capsule-like device that’s supposed to make you feel full by stretching out your stomach using vibration,” reports Miriam Fauzia for Inverse. “Considering that diet and exercise are hard to maintain, especially for long-term weight loss, and medical interventions like gastric bypass surgery and the newest wave of injectables cost more than a pretty penny, [Shriya] Srinivasan PhD ’20 and her colleagues want their vibrating pill to be an accessible alternative,” writes Fauzia.
President Biden has awarded Prof. Emeritus Subra Suresh ScD '81, the former dean of the MIT School of Engineering, the National Medal of Science for his “pioneering research across engineering, physical sciences, and life sciences,” reports Alexa Gagosz for The Boston Globe. Prof. James Fujimoto '79, SM '81, PhD '84, research affiliate Eric Swanson SM '84, and David Huang '85, SM '89, PhD '93 were awarded the National Medal of Technology and Innovation, “the nation’s highest award for technical achievement.”
A study by researchers from MIT and Harvard examined the potential impact of the use of AI technologies on the field of radiology, reports Laura Landro for The Wall Street Journal. “Both AI models and radiologists have their own unique strengths and areas for improvement,” says Prof. Nikhil Agarwal.
STAT reporter Annalisa Merelli writes that the 2023 Lasker Award has been given to Prof. James Fujimoto, research affiliate Eric Swanson SM ’84 and David Huang PhD ’93 for their work advancing the diagnosis of eye disease. Fujimoto, Swanson and Huang developed “optical coherence tomography (OCT) — the first noninvasive technology allowing doctors to see high-resolution images of the retina.”
Prof. James Fujimoto, research affiliate Eric Swanson SM ’84 and David Huang PhD ’93 have won a Lasker Award for their work inventing optical coherence tomography, which can “detect conditions like macular degeneration and diabetic retinopathy earlier than previous methods, preventing blindness,” reports Noah Weiland and Cade Metz for The New York Times. “O.C.T. now is commonly used in ophthalmology offices, where the patient simply rests a chin and forehead against an instrument for a brief scan,” write Weiland and Metz. “The method, invented in 1991, offers a staggering amount of detail about the retina.”
Prof. James Fujimoto, research affiliate Eric Swanson SM ’84 and David Huang PhD ’93 have been honored with the Lasker Award for their work for their work inventing “imaging technology that revolutionized how ophthalmologists diagnose diseases of the eye," reports Jonathan Saltzman for The Boston Globe. The scientists were recognized for developing “optical coherence tomography, or OCT, the first technology that enabled doctors to see a two- and three-dimensional cross-sectional image of the retina,” Saltzman explains. “This painless scan takes less than 10 minutes, and is now the standard of care for diagnosing retina diseases.”
Prof. Regina Barzilay writes for CNN about how AI can impact health care. “Smart AI algorithms, which are trained on large-scale medical data and equipped with powerful computing, can go beyond what is humanly possible, eliminate care delays and reduce the cost of health care,” writes Barzilay.
Researchers at MIT and elsewhere have developed a medical device that uses AI to evade scar tissue build up, reports Andrew Paul for Popular Science. “The technology’s secret weapon is its conductive, porous membrane capable of detecting when it is becoming blocked by scar tissue,” writes Paul.
Michal Caspi Tal, a principal research scientist in the department of biological engineering, speaks with Boston Globe reporter Kay Lazar about her research aimed at better understanding why some people develop chronic illness after infection with Lyme disease and Covid-19. “Long Covid and chronic Lyme share so many features that it’s uncanny,” said Tal. “This is a solvable problem. This is not rocket science. This just needs to be looked at with fresh eyes.”
Prof. Daniela Rus, director of CSAIL, writes for Forbes about Prof. Dina Katabi’s work using insights from wireless systems to help glean information about patient health. “Incorporating continuous time data collection in healthcare using ambient WiFi detectable by machine learning promises an era where early and accurate diagnosis becomes the norm rather than the exception,” writes Rus.
In an article for Forbes, research affiliate John Werner spotlights Prof. Dina Katabi and her work showcasing how AI can boost the capabilities of clinical data. “We are going to collect data, clinical data from patients continuously in their homes, track the symptoms, the evolution of those symptoms, and process this data with machine learning so that we can get insights before problems occur,” says Katabi.
Michael Goldberg PhD '08 founded Surge Therapeutics, a company developing a hydrogel immunotherapy treatment aimed at reducing the risk of surgically-removed cancers returning, reports India Rice for Forbes. “Broadly speaking, immunotherapy is a range of cancer treatments that aim to strengthen the immune system’s ability to fight cancer,” explains Rice. “But what makes Surge’s solution different is that it’s applied during surgery as opposed to other immunotherapies that are delivered weeks before or weeks after surgery.”
Prof. Jon Gruber speaks with Boston Public Radio hosts Jim Braude and Margery Eagen about the economics behind the Ozempic phenomenon, an antidiabetic drug being used to manage weight loss. “This is very new phenomenon and I think we are just starting to grapple with it,” says Gruber. “I think one positive aspect… it will put pressure on Congress to once again think more seriously about broader price of drug reform.”
Prof. Kevin Esvelt and his students have found that language-generating AI models could make it easier to create pandemic potential pathogens, reports Kelsey Piper for Vox.