Breast cancer

Holly Metcalf, head coach for the MIT women’s openweight rowing team, speaks with Esteban Bustillos of GBH News about the Survivor Rowing Network, a program aimed at introducing the sport of rowing to cancer survivors. Metcalf is coaching two boats from the Survivor Rowing in the 2023 Head of the Charles Regatta. “What I love about being here is students are visionary. And big world problems, they want to solve them. So maybe here at MIT one of my students may have an answer to getting rid of cancer,” she said. “That’s here. It’s all about finding answers through collaboration and that’s what rowing is, it’s a collaboration of mind, of body.”

MIT's Women's Rowing Coach Holly Metcalf speaks with CBS Boston about the Survivors Rowing Network, a team of breast cancer survivors who are rowing in the Head of the Charles Regatta. Metcalf, who is serving as the team’s coach, says that: "I am here to cheer them on. To see the strength and the trust that comes back for people who are surviving cancer. Trust in their bodies.” 

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.  

STAT reporters Katie Palmer and Casey Ross spotlight how Prof. Regina Barzilay has developed an AI tool called Mirai that can identify early signs of breast cancer from mammograms. “Mirai’s predictions were rolled into a screening tool called Tempo, which resulted in earlier detection compared to a standard annual screening,” writes Palmer and Ross.

A new AI prediction model developed at MIT could detect breast cancer up to five years in advance. The researchers hope this technique “can also be used to improve detection of other diseases that have similar problems with existing risk models, with far too many gaps and lower degrees of accuracy,” writes Darrell Etherington for TechCrunch.

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.”

Prof. Regina Barzilay, a breast cancer survivor, participated in a Washington Post Live discussion about “her own experience with the disease and how she uses data and machine learning to advance detection and treatment.” 

An image created by researchers at the Koch Institute that shows red nanoparticles carrying MicroRNAs to an aggressive breast tumor is featured in the National Cancer Institute Cancer Close Up project. Washington Post reporter Laurie McGinley explains that the photographs are intended to spark public interest and encourage young people to consider a career in microbiology.