Scientists employ AI to predict brain cancer outcomes

Researchers at Stanford Medicine and their colleagues have developed an artificial intelligence model that uses stained images of glioblastoma tissue to predict the aggressiveness of the brain tumor, determine the genetic makeup of the tumor cells, and evaluate whether cancerous cells remain after surgery.

stanford.edu

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8/24/2023

Accelerating precision oncology with artificial intelligence

Precision oncology is a revolution in cancer care that matches the right treatments to patients, and applying artificial intelligence and machine learning to clinical, genomic, and social determinants of health data can help develop targeted prevention strategies and new treatments while identifying eligible patients.

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Microsoft and Paige are building the world's largest AI model for detecting cancer

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