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Breast cancer

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Stat

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.

TechCrunch

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.

CNBC

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.”

The Washington Post

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.” 

The Washington Post

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.