VesaliusMed

VesaliusMed VesaliusMed LLC has developed software that uses machine learning and data mining techniques to diagnose bladder cancer with very high accuracy. The softwa

The software has been validated with 3,000 pre-classified cancer cell images showing 97.4% concordance, 96.7% sensitivity, and 91.9 specificity. A diagnosis for a single 150x150 pixel cancer cell image takes less than 60 seconds. In the future, we will adapt the software to detect other cancers that manifest in cells from other sources like saliva and blood.

We at VesaliusMed were honored enough to be one of 50 companies selected to compete in the University Startup World Cup ...
09/24/2015

We at VesaliusMed were honored enough to be one of 50 companies selected to compete in the University Startup World Cup in Copenhagen, Denmark last week.

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Peabody, KS

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