A population-based analysis led by researchers at Dana-Farber Cancer Institute and Mass General Brigham for Children found genomic newborn screening could identify children at risk for early-onset cancers. The study, published in Nature Communications, assessed dried blood spot samples from 1,948 children born in Michigan between 1987 and 2020, who were later diagnosed with malignant solid or brain cancers by age 8. Investigators used target next-generation sequencing with an 11-gene cancer predisposition panel that included genes such as RB1, RET, TP53, and DICER1. The team optimized the sequencing workflow to detect single-nucleotide variants, small insertions/deletions, and copy number variants, and incorporated Fabric Genomics’ AI engine to streamline variant classification. The authors emphasized that feasibility and clinical utility are promising, but that economic and public health implications still require evaluation before any broad policy shift. For the field, the key question becomes which genetic risk signals are actionable early enough to change outcomes.