1 of 8 women will be diagnosed with breast cancer in their lifetime. Breast cancer screenings reduce mortality by 25%*.

*Katalinic et al. (2019)

This is why 300+ million mammograms were conducted worldwide last year.

But only 3 out of 100 screened women actually have suspicious findings and need to be recalled.

What if a machine learning model could flag a large portion of the normal exams?

So that screening physicians can focus on the potentially suspicious exams which have a higher likelihood of being positive for cancer.

Vara flags normal mammograms with very high confidence so screening radiologists can focus on what really matters most for women: finding breast cancer as early as possible.

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Vara alerts the screening radiologist to take a second look at an exam they reported as normal when Vara has detected a suspicious finding.

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