Using AI to improve the molecular classification of brain tumors

We used deep neural networks trained on optical histology and open-source genomic data to predict the molecular genetics of brain tumors during surgery. Our results represent how AI-based diagnostics can provide a valuable adjunct to wet laboratory methods for molecular testing in patients with cancer.

Automated summary

Researchers used deep neural networks trained on optical histology and open-source genomic data to predict molecular genetics of brain tumors during surgery. This study demonstrates how AI-based diagnostics can be a valuable tool for molecular testing in patients with cancer.