Google's New AI Tool DeepSomatic Identifies Cancer-Driving Genetic Variants with Superior Accuracy

Google launches DeepSomatic, an open-source AI tool that outperforms existing methods in identifying cancer-driving genetic variants, using advanced neural networks to distinguish inherited from acquired mutations and promising more precise cancer treatments for patients worldwide.

• DeepSomatic, a new open-source AI model developed by Google with partners including UC Santa Cruz and Children's Mercy, accurately identifies genetic variants in cancer cells to enable more precise treatments
• The machine learning tool uses convolutional neural networks to distinguish between inherited variants and acquired somatic variants that drive cancer, working effectively on complex samples like pediatric leukemia and glioblastoma
• DeepSomatic outperforms current methods at detecting key variants, particularly insertions and deletions, with both the tool and its high-quality training dataset made openly available to accelerate global cancer research