Verily Life Sciences LLC

Po-Hsuan Cameron Chen

Martin Christian Stumpe

Lily Peng

Matthew Symonds

Yun Liu

Davis Foote

Kunal Nagpal

Naren Manoj

David F Steiner

Craig Mermel

Ellery Wulczyn

One example method for AI prediction of prostate cancer outcomes involves receiving an image of prostate tissue; assigning Gleason pattern values to one or more regions within the image using an artificial intelligence Gleason grading model, the model trained to identify Gleason patterns on a patch-by-patch basis in a prostate tissue image; determining relative areal proportions of the Gleason patterns within the image; assigning at least one of a risk score or risk group value to the image based on the determined relative areal proportions; and outputting at least one of the risk score or the risk group value.

Artificial intelligence prediction of prostate cancer outcomes

Growing community of inventors

Palo Alto, CA, United States of America

Po-Hsuan Cameron Chen