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Boston 25 News

Researchers at MIT have developed a wearable ultrasound device that can be used to detect early signs of breast cancer, reports Rachel Keller and Bob Dumas for Boston 25 News. “This technology will be able to let you know if there’s a question mark, if there’s an anomaly, in your breast tissue,” says Prof. Canan Dagdeviren.

The Daily Beast

Researchers at MIT and Dana-Farber Cancer Institute have published a paper showcasing the development of OncoNPC, an artificial intelligence model that can predict where a patient’s cancer came from in their body, reports Tony Ho Tran for The Daily Beast. This information “can help determine more effective treatment decisions for patients and caregivers,” writes Tran.

The Telegraph

Prof. Canan Dagdeviren and colleagues at MIT have developed a wearable sensor that could help more easily detect breast cancer. “Dr. Dagdeviren hopes the device will allow for more frequent screening of women who are at high risk of developing breast cancer, such as those who had inherited the BRCA1 and BRCA2 genes, or people who have had cancer previously,” writes Sarah Knapton for The Telegraph.  

HealthDay News

Researchers at MIT have developed a wearable ultrasound patch that could be used to allow women to monitor themselves for early signs of breast cancer, reports Amy Norton for HealthDay. “The hope is to one day use such portable technology to help diagnose and monitor a range of diseases and injuries – in a way that’s more accessible and cheaper than using traditional scanners housed at medical facilities,” explains Norton.

Popular Science

Researchers at MIT have developed a “flexible patch that can take ultrasound images comparable to those done by medical centers, but can fit into a bra,” reports Sara Kiley Watson for Popular Science. “The researchers tested their device on a 71-year-old subject with a history of breast cysts, and were able to detect cysts as small as 0.3 centimeters in diameter up to 8 centimeters deep in the tissue, all while maintaining a resolution similar to traditional ultrasounds,” writes Kiley Watson.


MIT researchers have designed a wearable ultrasound device that attaches to a bra and could be used to detect early-stage breast tumors, reports Lizzy Lawrence for STAT. “I’m hoping to really make it real, and to touch people’s lives,” says Prof. Canan Dagdeviren. “I want to see the impact of my technology not only in the lab, but on society.”

ABC News

Researchers from MIT and Massachusetts General Hospital have developed “Sybil,” an AI tool that can detect the risk of a patient developing lung cancer within six years, reports Mary Kekatos for ABC News. “Sybil was trained on low-dose chest computer tomography scans, which is recommended for those between ages 50 and 80 who either have a significant history of smoking or currently smoke,” explains Kekatos.


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. Regina Barzilay speaks with Nicole Estephan of WCVB-TV’s Chronicle about her work developing new AI systems that could be used to help diagnose breast and lung cancer before the cancers are detectable to the human eye.


A study by researchers from the Broad Institute and others have found that cancer in humans and dogs share genomic similarities, reports Nicole Karlis for Salon. “Specifically, the study identified 18 genetic mutations that are likely a primary driver of the cancer in canine patients, eight of which overlapped with so-called "hotspots" in human cancers,” writes Karlis.

Matter of Fact with Soledad O'Brien

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.

Boston 25 News

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.”

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.”


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.

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.