Soledad O’Brien spotlights how researchers from MIT and Massachusetts General Hospital developed a new artificial intelligence tool, called Sybil, that an accurately predict a patient’s risk of developing lung cancer. “Sybil predicted with 86 to 94 percent accuracy whether a patient would develop lung cancer within a year,” says O’Brien.
Prof. Gio Traverso and colleagues at NYU have developed an electronic pill that could stimulate appetite. The device delivers small pulses of electricity that “induce the release of ghrelin, the body’s so-called “hunger hormone,” which is involved in regulating appetite and alleviating severe nausea and vomiting,” reports Joanna Thompson for Inverse.
Prof. Marzyeh Ghassemi speaks with NPR host Emily Kwong and correspondent Geoff Brumfiel about how artificial intelligence could impact medicine. “When you take state-of-the-art machine-learning methods and systems and then evaluate them on different patient groups, they do not perform equally,” says Ghassemi.
Research from MIT and elsewhere have developed a mobile app that uses computer-vision techniques and AI to detect post-surgery signs of infection as part of an effort to help community workers in Kirehe, a district in Rwanda’s Eastern province, reports Shefali Malhotra for Science. “The researchers are now improving the app so it can be used across more diverse populations such as in Ghana and parts of South America,” writes Malhotra.
Researchers from MIT and NYU have “developed a first-of-its-kind treatment to help spur hunger via stimulating hormone levels in the gut—an “electroceutical” ingestible capsule inspired by a “water wicking” reptile,” writes Andrew Paul for Popular Science. “The team explored a novel way to “significantly and repeatedly” induce the production of ghrelin, a hormone that triggers hunger.”
Researchers at MIT have developed a new nanoparticle sensor that can detect cancerous proteins through a simple urine test. “The researchers designed the tests to be done on a strip of paper, similar to the at-home COVID tests everyone became familiar with during the pandemic,” writes Lambert. “They hope to make it as affordable and accessible to as many patients as possible.”
New Scientist reporter Grace Wade writes that MIT researchers have developed a non-invasive capsule the size of a raisin that electrically stimulates stomach cells, and could one day be used to “treat nausea, vomiting and lack of appetite in people with eating disorders, or those receiving treatments for cancer.”
Researchers at MIT have developed a mobile printer that could create microneedle patches for mRNA vaccine delivery. “These "microneedle patches" offer a range of advantages over traditional jabs in the arm, including that they can be self-administered, are relatively painless, could be more palatable to the vaccine-hesitant and can be stored at room temperature for long periods of time,” writes Daniel Lawler for Agence France-Presse.
Research scientist Ana Jaklenec spoke with Jonathan Grinstein at Genetic Engineering & Biotechnology News about a new microneedle patch printer she and her colleagues have developed that may one day enable on-demand vaccine manufacturing. “The idea was that you could, in an emergency situation, deploy some of these printers and locally vaccinate the population to prevent the global spread of infection,” says Jaklenec.
NBC News highlights how researchers from MIT and MGH have developed a new AI tool, called Sybil, that can “accurately predict whether a person will develop lung cancer in the next year 86% to 94% of the time.” NBC News notes that according to experts, the tool "could be a leap forward in the early detection of lung cancer.”
Prof. Marzyeh Ghassemi speaks with WBUR reporter Geoff Brumfiel about her research studying the use of artificial intelligence in healthcare. “When you take state-of-the-art machine learning methods and systems and then evaluate them on different patient groups, they do not perform equally,” says Ghassemi.
Callie Gade and Nate Bonham of CNN’s Discovery Daily Podcast spotlight how researchers from MIT developed a 3D printed replica of the human heart that can help doctors customize treatments for patients before conducting open heart surgery or other intrusive procedures. “These more patient-specific heart replicas can help future researchers develop and identify treatments for people with unique health problems,” says Gade.
Prof. Marzyeh Ghassemi speaks with Scientific American reporter Sara Reardon about the impact of AI chatbots on medical care. “Ghassemi is particularly concerned that chatbots will perpetuate the racism, sexism and other types of prejudice that persist in medicine—and across the Internet,” writes Reardon. “Scrubbing racism from the Internet is impossible, but Ghassemi says developers may be able to do preemptive audits to see where a chatbot gives biased answers and tell it to stop or to identify common biases that pop up in its conversations with users.”
Principal Research Scientist Leo Anthony Celi co-authored a study that found “a lack of racial and gender diversity could be hindering the efforts of researchers working to improve the fairness of artificial intelligence (AI) tools in health care,” reports Carissa Wong for Nature.
Dr. Akshay Syal, a medical fellow for NBC News, discusses how MIT researchers have developed a new technique to 3D print custom replicas of the human heart.