Science

Advances in AI applying deep learning to digital pathology images can stratify patients by risk.

New AI technology using H&E images creates an alternative path for molecular diagnostics Molecular properties are critical in selecting cancer treatments to target weaknesses of individual tumors.

It’s easy to measure greenhouse gases but hard to know where they come from.

Not all cancers are the same, so how can we identify the differences that we can’t see?

Artificial intelligence finds new insights into molecular tumor properties using a different view – images of cells and tissue.