New software tool uses AI to identify cancer cells

A team of researchers from UT Southwestern has developed a software that employs Artificial Intelligence to recognize cancer cells from digital pathology images. The software named as ConvPath, identify cells based on their appearance in the pathology images using an AI algorithm that learns from human pathologists. The algorithm effectively converts a pathology image into a “map” that displays the three-dimensional distributions and interactions of tumor cells, stromal cells, and lymphocytes in tumor tissue. The researchers believe that such information can help doctors customize treatment plans and pinpoint the right immunotherapy.

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