AI Predicts Tumor Gene Signatures

This is a news story, published by ScienceBlog.com, that relates primarily to SEQUOIA news.

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Gene Signatures

ScienceBlog.com

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Stanford Medicine develops AI tool that can predict genetic activity in tumor cells

Summary

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84% Informative

System, named SEQUOIA , could dramatically speed up treatment decisions while reducing healthcare costs.

System trained on 7,584 cancer biopsies spanning 16 different cancer types.

System proved particularly effective at identifying large-scale genetic patterns called gene signatures, which doctors use to guide treatment decisions.

For some cancer types, predictions showed over 80% correlation with actual genetic data.

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