Skip to content ↓

Topic

Health sciences and technology

Download RSS feed: News Articles / In the Media / Audio

Displaying 31 - 45 of 307 news clips related to this topic.
Show:

NBC News

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.”

WBUR

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.

Scientific American

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.”

Nature

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.

CNN

Researchers at MIT developed a system that uses artificial intelligence to help predict future risk of developing breast cancer, reports Poppy Harlow for CNN. What this work does “is identifies risk. It can tell a woman that you’re at high risk for developing breast cancer before you develop breast cancer,” says Larry Norton, medical director of the Lauder Breast Center at the Memorial Sloan Kettering Cancer Center.

Fast Company

Fast Company reporter Amelia Hemphill spotlights the work of Alicia Chong Rodriguez SM ’17, SM ’18, and her startup Bloomer Tech, which is “dedicated to transforming women’s underwear into a healthcare device.” “Our big goal is to generate digital biomarkers,” says Chong Rodriguez. “Digital biomarkers work more like a video, so it will definitely allow a more personalized care from the physician to their patient.”

Politico

Researchers at MIT and elsewhere are analyzing patients’ speech patterns to see if they can detect Lou Gehrig’s disease in its early stages, reports Ben Leonard, Ruth Reader, Carmen Paun and Erin Schumaker for Politico. “Catching it early and beginning treatment can improve patients’ quality of life and delay symptom onset,” they write.  

CBS Boston

Researchers at MIT and Massachusetts General Hospital have developed “Sybil” – an artificial intelligence tool that can predict the risk of a patient developing lung cancer within six years, reports Mallika Marshall for CBS Boston. 

The Washington Post

MIT researchers have developed a new AI tool called Sybil that could help predict whether a patient will get lung cancer up to six years in advance, reports Pranshu Verma for The Washington Post.  “Much of the technology involves analyzing large troves of medical scans, data sets or images, then feeding them into complex artificial intelligence software,” Verma explains. “From there, computers are trained to spot images of tumors or other abnormalities.”

Fast Company

Researchers from MIT and Harvard have developed “a new type of electrically conductive hydrogel ‘scaffold’ that could eventually be used to create a soft brain-computer interface (or BCI) that translates neural signals from the brain into machine-readable instructions,” reports Adam Bluestein for Fast Company.

Forbes

Researchers from MIT and Mass General Hospital have developed “a deep learning model named ‘Sybil’ that can be used to predict lung cancer risk, using data from just a single CT scan,” writes Sai Balasubramanian for Forbes. “Sybil is able to predict a patient’s future lung cancer risk to a certain extent of accuracy, using the data from just one LDCT [low-dose computed tomography scan],” writes Balasubramanian.

Forbes

Harry McNamara PhD ’19, David Heller ’18, and Shara Ticku co-founded C16 Biosciences, a biotechnology company that uses synthetic biology to address environmental concerns, reports John Cumbers for Forbes. The company “wants to replace conflict palm oil with a sustainable alternative made in yeast using precision fermentation,” writes Cumbers.

Forbes

Rosina Samadani ’89, MS ’92 co-developed EyeBox, an algorithm-based non-invasive diagnostic test for concussions, reports Geri Stengel for Forbes. “Patients watch a video, and the device watches their eyes for 220 seconds with a very high-quality, high-frequency infrared camera that measures eye movements and provides a score based on those eye movements,” explains Stengel. “The score is correlated with the absence or presence of a concussion.”

Physics Today

Prof. Robert Langer and his colleagues write for Physics Today about how physics could help contribute to predicting tissue behaviors and accelerate the regeneration of human tissues and organs. “The physics of tissue engineering in general and of bioprinting in particular is a relatively new field that could provide numerous opportunities for tissue and organ fabrication and regeneration,” they write.

US News & World Report

Researchers at MIT have found indoor humidity levels can influence the transmission of Covid-19, reports Dennis Thompson for US News & World Report. “We found that even when considering countries with very strong versus very weak Covid-19 mitigation policies, or wildly different outdoor conditions, indoor — rather than outdoor — relative humidity maintains an underlying strong and robust link with Covid-19 outcomes,” explains Prof. Lydia Bourouiba.