Integration of mammographic AI, clinical, and genomic information to improve breast cancer subtype–specific risk-based screening and prevention (WISDOM P01, Project 3)

Our ongoing WISDOM trial of risk-based breast cancer screening and prevention is predicted to reduce harms from screening by 50% while continuing to reduce advanced breast cancers as much as annual screening. However, the underlying risk model has high potential for improvement. The overall goal of Project 3 is to continuously develop and improve models for predicting the risk of breast cancer by combining emerging advances in artificial intelligence, inherited genetics, and tumor molecular assays. We will use these advanced models to predict risk of fast- vs. slow-growing breast cancer subtypes and to create a next-generation WISDOM risk-based screening and prevention platform, which, based on our preliminary data, we expect will be substantially more useful than the current WISDOM risk model and enable further reduction in harms from both lethal breast cancers and abundant false positives.

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