An Ensemble AI Model for RET Alteration Detection Using H&E Images as a Putative Screening Tool for More Efficient Genomic Alteration Detection
Abstract RET-activating gene alterations are present in 1%–2% of non-small cell lung cancers. Therapeutics that specifically and effectively target these RET alterations have recently been approved. Broad-based genomic testing, inclusive of RET fusions, is…
